You now have a solid LinkedIn profile, but you don’t quite know what to do with it.

After all, it’s difficult for scientists to self-promote. To many, it just feels unnatural. Plus, your contacts are out of date, and LinkedIn functionalities like Endorsements seem to be not quite right you as an academic.

Given that, how exactly are you supposed to use LinkedIn appropriately to connect with other scientists and find job opportunities?

You’re in luck. On top of the tips we compiled for our last post, we’ve found the best strategies for using LinkedIn to network in academia.

In this post, we’ll tell you the keys to networking for academics on LinkedIn: how to find and sustain a professional relationship with colleagues and experts in your field, get others to Endorse and Recommend you in the right ways, and connect LinkedIn to the rest of your professional life.

1. Get connected to your existing web of co-workers and advisors

It’s surprisingly easy to find people you already know and add them to your network on LinkedIn.

Use the Add Connections tab in the top right corner of your profile to connect LinkedIn to your email account.

LinkedIn then suggests Connections based on your contacts. A rule to follow for LinkedIn, as opposed to Twitter and Facebook, is that you should only select Connections you actually know and feel comfortable asking to keep in touch (former collaborators, co-workers, and friends are good choices).

When Connecting, it’s a nice touch to send a message saying hello. Networking is all about building meaningful relationships, not how many people you have in your virtual Rolodex.

2. Request introductions to new contacts

If you want a good way to meet potential collaborators or get an “in” for a job, Connecting with strangers can be useful.

But how do you get around the awkwardness of asking strangers to Connect? The answer: ask a current contact for an introduction.

Here’s an example of how that would work: I’m not currently Connected to genomics researcher Mike Eisen on LinkedIn, but let’s say I want to collaborate with him to do some research on a great idea I have.

The first thing I need to do to connect with him is find a contact that we have in common. So, I visit Mike’s profile. On the left-hand side is a “How You’re Connected” graphic. I can scroll through the list of contacts we have in common to find a suitable middleman–Mendeley’s William Gunn.

Next, I would click on the “Ask William about Mike” link. In the dialog box that appears, I’d write my request for an introduction and send it to William. The request should follow three key rules:

Be specific

William might take 10 minutes out of his day to write a recommendation for me, so I shouldn’t waste his time. That means telling him exactly why I want to meet Mike: what Mike does that interests me (he’s a genomics researcher), and what I’m looking to get out of an introduction (an opportunity to tell him about my great research idea: widgets for genomics researchers).

Include a “pitch” as to why an introduction would be valuable

Likewise, I should make it clear what Mike would get out of meeting me. What do I bring to the table? In this case, it’d be the chance to learn about a well-received new widget, and a future NSF grant opportunity.

Show appreciation, and also provide William with an “easy out”

William’s time is valuable, so I should make it clear that I’m thankful that he’s considering writing an Introduction. A good way to do that in addition to saying thanks is to give him a way to beg off without feeling too guilty.

Two additional rules for special scenarios are: 1) If we didn’t know each other well, I’d want to remind William how we met, and 2) If William does introduce Mike and I, I should follow up with an update and thanks.

Using these rules, here’s how my request for an Introduction reads:

Hi William,

I’m writing to ask if you’d be kind enough to introduce me to Mike (if, of course, you feel you know him well enough to do so). As you know, I’ve been toying with a new idea for widgets for genetics researchers. The prototype has been very well received by our initial user group; I think it has the potential to be a success, with the right stewardship.

It’s for that reason I want to connect with Mike. Being a well-known genomicist, Mike might be interested in the widget and, eventually, collaborating with me to go after a round of NSF funding. I hear there’s an upcoming “Dear Colleagues” letter that may be specifically related to genetics research widget design.

Thanks very much for taking the time to read this and considering my request. Feel free to decline if you don’t have the bandwidth to make the Introduction right now, I completely understand.

Best,
Stacy

One final note: keep your requests for introductions to “2nd degree connections”–that is, friends of friends–because your chances of getting a meaningful introduction to a stranger through a friend of a friend of a friend depends on too many variables to be successful.

3. “Cold call” people you want to get to know

This strategy is one of the most risky, but can also be rewarding if it helps you move beyond your existing network and break into new areas–especially important for those seeking jobs.

You can use LinkedIn messaging to send a short note to introduce yourself to and ask advice of individuals who have a job similar to the one you’re aiming for, or to get in touch with recruiters (if you’re looking for a job in industry). You might also consider writing messages to people you don’t know that have viewed your profile, if you think it’d have a payoff (i.e. a connection or, better yet, a lead on a job).

4. Boost your discoverability with the help of your network

Let’s be clear: Endorsements can be totally useless when not done right. In the past, I’ve been endorsed for “Library”. And I’ve seen Endorsements on others’ profiles for even more mundane things.

But Endorsements can be useful for academics, if done with care. The more people Endorse you for a skill or knowledge area (like “Grant writing”), the more you are associated with that skill by LinkedIn and search engines–thereby upping your appearance in search results, surfacing you to potential collaborators or future employers.

Here’s how to keep from getting Endorsed for something too vague to be useful. You can control what others are able to Endorse you for by editing the Skills & Endorsements section of your profile. Delete any skills that don’t apply or aren’t relevant. You can also reorder how those skills appear on your profile–helpful for breaking out of a loop where you are most often endorsed for the skills you’re most endorsed for.

 If you choose to Endorse others, be sure to only do so for people you know, and for skills you actually think they possess. Otherwise, it comes off as spammy.

5. Land at least one Recommendation

Recommendations can help you network passively using your profile. Having at least one Recommendation on your profile makes it clear what type of an employee or collaborator you are, which builds trust in your personal brand.

Asking others to write Recommendations for you doesn’t have to be awkward. Offer to write a Recommendation for them, and let them know you’d welcome a Recommendation in return. Just be sure to make it clear that reciprocation is by no means required.

When writing a Recommendation, make it clear how you know him or her. Did you serve as co-chairs for a professional society? Did she supervise you at your last job? Give specifics about what makes him or her a solid co-worker, and let the reader know what types of jobs you think she or he could excel at.

6. Let others know you’re here and ready to dance

Now it’s time to connect your LinkedIn presence to the rest of your professional life.

Make new LinkedIn Connections in your offline life by advertising that you are on the network. One way to do that is to create a memorable LinkedIn URL and include that URL on your business card. You can also put your custom URL or a LinkedIn badge prominently on your professional website or blog.

LinkedIn should be just one piece of your online identity. Academia.edu, Mendeley, and Impactstory all have functionalities that LinkedIn lacks; use those sites to host your publications, find new collaborators, and track impact metrics for your work.

7. Boost the signals and cut the noise from LinkedIn Notifications

LinkedIn’s Notification emails can be both a blessing and a curse.

Notifications about your Connections–which include information about their new jobs, promotions, and requests for Recommendations–can be a nice way to stay abreast of what your colleagues are up to, and a reminder to check-in with former coworkers to say hello.

However, all the Notifications can sometimes be too much. (Do you really need to know about your LinkedIn Connections’ work anniversaries?) You can reduce the “noise” if you are sure to only connect with people you know, and review your Communications settings to make sure you’re getting the types of email you’d prefer to see.

You’ll also want to pay close attention to what sort of Notifications you’re sending out. Job seekers especially should make sure their “Activity broadcasts” are set up correctly (go to Privacy & Settings > “Turn on/off your activity broadcasts”), so current employers don’t get emails letting them know you’re on the job hunt.

Are you ready to rumble?

By now, you’ve reconnected with coworkers and friends to build a meaningful network. And you’ve learned how to hack some of LinkedIn’s more annoying features–Endorsements and Notifications chief among them–to build your brand as a scientist, making new contacts and uncovering professional opportunities along the way.

Do you have other tips for networking using LinkedIn? Want to share a story about a time you triumphed–or failed–to make new Connections or get a Recommendation on the site? Leave them in the comments section below!

Like 1.9 million other academics, you’ve got a LinkedIn profile. Along with the rest of us, you set it up to improve your visibility and to network with other researchers.

Well, we’ve got some bad news for you: your LinkedIn profile probably isn’t doing either of those things right now. Or at least, not very well.

The problem is that LinkedIn is built for businesspeople, not scientists; it’s tough to translate the traditional scholarly CV into the business-friendly format imposed by LinkedIn. So most scientists’ profiles are dull and lack focus on their most important accomplishments, and their networking attempts are limited to “friending” co-workers.

We’re going to fix that by giving you seven easy hacks to turn LinkedIn into a powerful tool for scholarly visibility and networking.  Today, we’ll help you supercharge your profile; then in our next post, we’ll show you how to leverage that profile to built a powerful professional network.

1: Bust down barriers to finding your profile

What good is a killer LinkedIn profile if no one can find it, or if your profile is so locked down they can only see your name?

 Your first job is to check your “public profile” settings (go to Privacy & Settings > Edit your public profile) to make sure people can see what you want them to.

What might others want to see? Your past experience, summary, and education, for starters; also include your best awards, patents, and publications. But don’t worry if you haven’t got the right content in place yet; we’ll fix that soon.

Next, double-check your settings by signing out of LinkedIn completely and searching for yourself on both LinkedIn and Google.

Are you findable now? Great, let’s move on.

2: Make your Headline into an ‘elevator pitch’

LinkedIn includes a short text blurb next to each person’s name in search results. They call this your “Headline,” and just like a newspaper headline, it’s meant to stimulate enough interest to make the reader want more.

Here are some keys to writing a great LinkedIn headline:

1. Describe yourself with the right words: Brainstorm a few keywords that are relevant to the field you’re targeting. Spend a few minutes searching for others in your field, and borrowing from keywords found in their profiles and Headlines. For instance, check out Arianna C’s Headline: “Conceptual Modelling, Facilitation, Research Management, Research Networking and Matching”. Right away, the viewer knows what Arianna is an expert at. Your headline should do the same.

2. Be succinct: Never use two words when one will do. (Hard for academics, I know. 🙂 ) Barbara K., who works in biotech, has a great Headline that follows this rule: “Microbiologist with R & D experience.”

3. Show your expert status: What makes you the chemical engineer/genomics researcher/neuroscientist? Do you put in the most hours, score the biggest grants, or get the best instructor evaluations from students? This is your value proposition–what makes you great. Those with less experience like recent graduates can supplement this section by showing their passion for a topic. (I.e., “Computer scientist with a passion for undergraduate education.”)

4. Use a tried and true formula to writing your headline: 3 keywords + 1 value proposition = Headline success, according to career coach Diana YK Chan. So what does that look like? Taking the keywords from (1) and value proposition from (3) above, we can create a Headline that reads, “Computer scientist with a passion for undergraduate education and experience in conceptual modelling and research management.” Cool, huh?

Well-written headlines are also key to making you more findable online–important for those of us who need to disambiguation from similarly-named researchers beyond ORCID.

3: Make yourself approachable with a photo

The next step to making yourself memorable to get a good photo on your profile. Here are three tips to remember:

• Don’t tilt your head. Lots of folks, especially women, do this in photos to look more friendly, but it ends up making you look unassertive instead. Be confident.

• Turn your shoulders; the straight-on post yells “mugshot.”

• Try posting an action shot, emphasizing for the viewer what you’re good at–for instance:

  public speaking,

  

  field work,

  

  and coding.

4: Hook ‘em with your Summary section

Now it’s time to encourage viewers of your profile to learn about you in more detail. That’s where the Summary section comes in.

Your Summary is an opportunity to provide a 50,000 foot view into your career and studies to date. Don’t just use this section to repeat information found elsewhere on your profile. Instead, write a short narrative of your professional life and career aspirations, using some of the keywords left over from writing your Headline. Here are three tips to help:

Be specific

Don’t use technical jargon, but do provide concrete details about your research and why it matters. Make yourself a person, not just another name in a discipline. Anthropologist Jason Baird Jackson does a great job of this:

“I have collaborated with Native American communities in Oklahoma since 1993, when I began a lifelong personal and research relationship with the Euchee/Yuchi people.”

Be up-front about what you want

Don’t beat around the bush when it comes to your professional goals. If you’ve done your job right, future employers, reviewers, students, and collaborators are probably reading your profile. Great. Now, what do you want to do with them? Let them know what you’re after, like scientist CW Hooker does in his Summary:

“I am always interested in discussing collaborations and future opportunities.”

Prove your value

Finally, use your Summary section to describe what you’ve done and why it matters. Elizabeth Iorns, breast cancer researcher and entrepreneur, explains to profile viewers that,

“Based on her own experiences as a young investigator seeking expert collaborations, Dr. Iorns co-founded Science Exchange. In 2012, after recognizing the need to create a positive incentive system that rewards independent validation of results, Dr. Iorns created the Reproducibility Initiative.”

 Right there is proof that she gets stuff done: she’s created solutions in response to service gaps for scientists. Impressive!

5: Give the scoop on your best work

If you’re a recent graduate or junior academic, it can be tempting to put all of your work experience on your LinkedIn profile.

Don’t do it!

Putting all of your positions on your profile can trivialize the more important work that you’ve done and make you look scattered.

Remember, your LinkedIn profile fills different role than your CV–it’s more of a trailer than a feature film. So include only the jobs that are relevant to your career goals. Mention a few specifics about your most important responsibilities and what you learned at those jobs, and save the gory details about your day-to-day work for your full CV.

A good rule for more senior researchers to talk mostly about your last 10-15 years of experience. Listing all of your past institutions will make for a monster profile that will turn readers off with too much detail.

After all, why would someone care if you were a lab assistant for Dr. Obscure at Wichita State University in 1985, when the more compelling story is that you’ve had your own lab since 2006?

6: Brag about your best awards and publications

Keeping it short and sweet also extends to discussing awards and publications on your LinkedIn profile. Highlight your best publications (especially those where you’re a lead author) and most prestigious awards (i.e., skip the $500 undergraduate scholarship from your local Elks club).

If you’re seeking an industry job, keep in mind that publications and awards don’t mean nearly as much outside of academia. In fact, you might want to leave those sections off of your LinkedIn profile altogether, replacing them with patents you’ve filed or projects you’ve led.

7. Add some eye-catching content

If LinkedIn were designed for scientists, it’d be much easier to import information from our CVs. Too bad it’s not. Nonetheless, with a little ingenuity you can make the site great for showcasing what scientists have a lot of: posters, slide decks, and figures for manuscripts.

If you’ve ever given a talk at a conference, or submitted a figure with a manuscript for publication, you can upload it here, giving viewers a better taste of your work. Add links, photos, slideshows, and videos directly to your profile using the Upload icon on your profile’s Summary and Experience sections. Consider also adding a link to your Impactstory profile, so you can show readers your larger body of work and its popular and scholarly impact.

Want some inspiration? Neuroscientist Bradley Voytek has added a Wow Factor to his profile with a link to a TEDx talk he gave on his research. Pharmacology professor Ramy Aziz showcases his best conference talks using links to Slideshare slide decks. And Github repositories make an appearance alongside slide decks on PhD student Cristhian Parra’s profile (pictured above).

You too can upload links to your best–and most visually stimulating–work for a slick-looking profile that sets you apart from others.

If you’ve followed our steps to hacking LinkedIn’s limitations for scientists, that drab old profile is spiffed up and ready to share. Now you’re poised to make lasting connections with your colleagues via LinkedIn, and hook potential collaborators.

But! You haven’t even scratched the surface of LinkedIn’s value until you use it to network. We’ll show you how to do that in the second part of our series. Stay tuned!

Do you have tips for crafting great LinkedIn profiles, or what you–as an employer–look for in a LinkedIn profile? Leave them in the comments below!

You like the idea of “megajournals”–online-only, open access journals that cover many subjects and publish content based only on whether it is scientifically sound. You get that PLOS ONE, PeerJ and others offer a path to a more efficient, faster, more open scholarly publishing world.

But you’re not publishing there.

Because you’ve heard rumors that they’re not peer reviewed, or that they’re “peer-review lite” journals. You’re concerned they’re journals of last resort, article dumping grounds. You’re worried your co-authors will balk, that your work won’t be read, or that your CV will look bad.

Well, you’re not the only one. And it’s true: although they’ve got great potential for science as a whole, megajournals (which include PLOS ONE as well as BMJ Open, SAGE Open, Scientific Reports, Open Biology, PeerJ, and SpringerPlus) carry some potential career liabilities.

But they don’t have to. With a little savvy, publishing in megajournals can actually boost your career, at the same time as you support a great new trend in science communication. So here are the biggest dangers of megajournal publishing–and the tips that let you not have to worry about them:

1. My co-authors won’t want to publish in megajournals

Sometimes wanting to publish somewhere yourself isn’t enough–you’ve got to convince skeptical co-authors (or advisors!). Luckily, there’s a lot of data about megajournals’ advantages for you to share with the skeptics. And the easiest way to convince a group of scientists of anything is to show them the data.

Megajournals publish prestigious science

Megajournals aren’t for losers: top scientists, including Nobelists,  publish there. They also serve as their editors and advisory board members. So, let your co-authors know: you’ll be in great company if you publish in a megajournal.

Megajournals boost citation and readership impact

Megajournals can get you more readers because they’re Open Access. A 2008 BMJ study showed that “full text downloads were 89% higher, PDF downloads 42% higher, and unique visitors 23% higher for open access articles than for subscription access articles.” These findings have been confirmed for other disciplines, as well. Open Access journals can also get you more citations, as numerous studies have shown.

Megajournals promote real-world use

With more readers comes more applications in the real world–another important form of impact. The most famous example is of Jack Andraka, a teenager who devised a test for pancreatic cancer using information found in Open Access medical literature. Every day, articles about diet and public health in Malawi, how to more efficiently monitor animal species in the face of rapid climate change, and other life-changing applied science is shared in Open Access megajournals.

Megajournals publish fast

If the readership and citation numbers don’t appeal to your co-authors, what about super fast publication times? Megajournals often publish more quickly than other journals. PLOS ONE has a median time-to-publication of around six months; PeerJ’s median time to first decision is 24 days; time to final acceptance is a mere 51 days. Why? Rather than having to prove to your reviewers the significance of your findings, you just have to prove that the underlying science is sound. That leaves you with more time to do other research.

Megajournals save money

Megajournals also often cheaper to publish in, due to economies of scale. Which means that while the Journal of Physical Therapy requires you to pay $4030 for an article, PLOS ONE can get you 29x the article influence for a third of the price. PeerJ claims that their even cheaper prices–$299 flat rate for as many articles as you want to publish, ever–have saved academia over $1 million to date.

2. No one in my field will find out about it

You’ve convinced your co-authors–megajournals are faster, cheaper, and publish great research by renowned scientists. Now, how do you get others in your field to read an article in a journal they’ve never heard of?

Getting your colleagues to read your article is as easy as posting it in places where they go to read. You can start before you publish by posting a preprint to Figshare, or a disciplinary pre-print server like ArXiv or PeerJ Preprints, in order to whet your colleagues’ appetite. Make sure to use good keywords to make it findable–particularly since today, a growing percentage of articles are found via Google Scholar and PubMed searches instead of encountered in journals.

Once your paper has been more formally published in your megajournal of choice, you can leverage the social media interest you’ve already gained to share the final product. Twitter’s a great way to get attention, especially if you use hashtags your colleagues follow. So is posting to disciplinary listserves. A blog post sharing the “story behind the paper” and summarizing your findings can be powerful, too. Together, these can be all it takes to get your article noticed.

Microbiologist Jonathan Eisen is a great example. He promoted his article upon publication with great success, provoking over 80 tweets and 17 comments on a blog post describing his PLOS ONE paper, “Stalking the Fourth Domain in Metagenomic Data”. The article itself has received ~47,000 views, 300 Mendeley readers, 23 comments, 35 Google Scholar citations, and hundreds of social media mentions to date, thanks in part to Eisen’s savvy self-promotion.

3. My CV will look like I couldn’t publish in “good” journals

It’s a sad fact that reviewers for tenure and promotion often judge the quality of articles by the journal of publication when skimming CVs. Most megajournal titles won’t ring any bells (yet) for those sorts of reviewers.

So, it’s your job to demonstrate the impact of your article. Luckily, that’s easier than you might think. Today, we don’t have to rely on the journal brand name as an impact proxy–we can look at the impact of the article itself, using article-level metrics.

One of the most compelling article-level stats is good ol’-fashioned citations. You can find these via Google Scholar, Scopus, or Web of Science, all of which have their pros and cons. Another great one is article downloads, which many megajournals report: even if your article is too new to be cited yet, you can show it’s making an impact with readers.

To demonstrate broader and more immediate impacts, also highlight your diverse audiences and the ways they engage with your research. Social media platforms leave footprints on the web. These ”altmetrics” can be captured and aggregated at the article level:

There are many places to collect this information; rounding it all up can be a pain. Luckily, many megajournals will compile these metrics for you: PLOS has developed its own article level metrics suite (seen below); Nature Scientific Reports and many other publishers use Altmetric.com’s informative article-level metrics reports.

If your megajournal doesn’t offer metrics, or you would like to compile metrics for all your megajournal articles in one place, you can pull everything together with an Impactstory profile instead.

And just like that, you’re turning megajournals into valuable assets for both science and your career:  you’ve convinced your co-authors, done some savvy social media promotion to get your discipline’s attention, and turned your megajournal article from a CV liability to a CV victory through the smart use of article-level metrics.  Congratulations!

Have you found success by publishing in megajournals? Got other megajournal publishing tips to offer? Share your story in the comments section below!

 

You’re surfing the research literature on your lunch break and find an unfamiliar author listed on a great new publication. How do you size them up in a snap?

Google Scholar is an obvious first step. You type their name in, find their profile, and–ah, there it is! Their h-index, right at the top. Now you know their quality as a scholar.

Or do you?

The h-index is an attempt to sum up a scholar in a single number that balances productivity and impact. Anna, our example, has an h-index of 25 because she has 25 papers that have each received at least 25 citations.

Today, this number is used for both informal evaluation (like sizing up colleagues) and formal evaluation (like tenure and promotion).

We think that’s a problem.

The h-index is failing on the job, and here’s how:

1. Comparing h-indices is comparing apples and oranges.

Let’s revisit Anna LLobet, our example. Her h-index is 25. Is that good?

Well, “good” depends on several variables. First, what is her field of study? What’s considered “good” in Clinical Medicine (84) is different than what is considered “good” in Mathematics (19). Some fields simply publish and cite more than others.

Next, how far along is Anna in her career? Junior researchers have a h-index disadvantage. Their h-index can only be as high as the number of papers they have published, even if each paper is highly cited. If she is only 9 years into her career, Anna will not have published as many papers as someone who has been in the field 35 years.

Furthermore, citations take years to accumulate. The consequence is that the h-index doesn’t have much discriminatory power for young scholars, and can’t be used to compare researchers at different stages of their careers. To compare Anna to a more senior researcher would be like comparing apples and oranges.

Did you know that Anna also has more than one h-index? Her h-index (and yours) depends on which database you are looking at, because citation counts differ from database to database. (Which one should she list on her CV? The highest one, of course. :))

2. The h-index ignores science that isn’t shaped like an article.

What if you work in a field that values patents over publications, like chemistry? Sorry, only articles count toward your h-index. Same thing goes for software, blog posts, or other types of “non-traditional” scholarly outputs (and even one you’d consider “traditional”: books).

Similarly, the h-index only uses citations to your work that come from journal articles, written by other scholars. Your h-index can’t capture if you’ve had tremendous influence on public policy or in improving global health outcomes. That doesn’t seem smart.

3. A scholar’s impact can’t be summed up with a single number.

We’ve seen from the journal impact factor that single-number impact indicators can encourage lazy evaluation. At the scariest times in your career–when you are going up for tenure or promotion, for instance–do you really want to encourage that? Of course not. You want your evaluators to see all of the ways you’ve made an impact in your field. Your contributions are too many and too varied to be summed up in a single number. Researchers in some fields are rejecting the h-index for this very reason.

So, why judge Anna by her h-index alone?

Questions of completeness aside, the h-index might not measure the right things for your needs. Its particular balance of quantity versus influence can miss the point of what you care about. For some people, that might be a single hit paper, popular with both other scholars and the public. (This article on the “Big Food” industry and its global health effects is a good example.) Others might care more about how often their many, rarely cited papers are used often by practitioners (like those by CG Bremner, who studied Barrett Syndrome, a lesser known relative of gastroesophageal reflux disease). When evaluating others, the metrics you’re using should get at the root of what you’re trying to understand about their impact.

4. The h-index is dumb when it comes to authorship.

Some physicists are one of a thousand authors on a single paper. Should their fractional authorship weigh equally with your single-author paper? The h-index doesn’t take that into consideration.

What if you are first author on a paper? (Or last author, if that’s the way you indicate lead authorship in your field.) Shouldn’t citations to that paper weigh more for you than it does your co-authors, since you had a larger influence on the development of that publication?

The h-index doesn’t account for these nuances.

So, how should we use the h-index?

Many have attempted to fix the h-index weaknesses with various computational models that, for example, reward highly-cited papers, correct for career length, rank authors’ papers against other papers published in the same year and source, or count just the average citations of the most high-impact “core” of an author’s work.

None of these have been widely adopted, and all of them boil down a scientist’s career to a single number that only measures one type of impact.

What we need is more data.

Altmetrics–new measures of how scholarship is recommended, cited, saved, viewed, and discussed online–are just the solution. Altmetrics measure the influence of all of a researcher’s outputs, not just their papers. A variety of new altmetrics tools can help you get a more complete picture of others’ research impact, beyond the h-index. You can also use these tools to communicate your own, more complete impact story to others.

So what should you do when you run into an h-index? Have fun looking if you are curious, but don’t take the h-index too seriously.

Your advisor is ridiculously busy–so how do you get her to keep track of all the awesome research you are doing? Short answer: do great work that has such high online visibility, she can’t ignore it.

Easy, right?

But if you’re like me, you actually might appreciate a primer on how to maximize and document your research’s impact. Here, I’ve compiled a guide to get you started.

1. Do great work.

To begin with, you need to do work that’s worth bragging about. Self-promotion and great metrics don’t amount to much if your research isn’t sound.

2. Increase your work’s visibility.

Assuming that you’ve got that under control, making your “hidden” work visible is an easy next step. Gather the conference posters, software code, data, and other research products that have been sitting on your hard drive.

Using Figshare, you can upload datasets and make them findable online. You can do the same for your software using GitHub, and for your slide decks using Slideshare.

Want to make your work popular? Consider licensing it openly. Open licenses like CC-BY allow others to reuse your work more easily, advancing science quickly while still giving you credit. Here are some guides to help you license your data, code, and papers.

Making your work openly available has the benefit of allowing others to reuse and repurpose your findings in new and unexpected ways–adding to the number of citations you could potentially receive. These sites can also report metrics that allow you to see often they are viewed, downloaded, and used in other ways. (More about that later.)

3. Raise your own profile by joining the conversation.

Informal exchanges are the heart of scientific communication, but formal “conversations” like written responses to journal articles are also important. Here are three steps to raising your profile.

1. Engage others in formal forums. You may already participate in conversations in your field at conferences and in the literature. If you do not, you should. Presenting posters, in particular, can be a helpful way to get feedback on your work while at the same time getting to know others in your field in a professional context.

2. Engage others more and often. Don’t be a wallflower, online nor off. Though it can be intimidating to chat up senior researchers in your field–or even other grad students, for that matter–it’s a necessary step to building a community of collaborators. An easy way to start is by joining the Web equivalent of a ‘water cooler’ conversation: Twitter. There are lots of great guides to help you get started (PDF).  When you’ve gained some confidence and have longform insights to add, start a blog to share your thoughts. This post offers great tips on academic blogging for beginners, as does this article.

3. Engage others in the open. Conversations that happen via email only serve those who are on the email chain. Two great places to have conversations that can benefit anyone who chooses to listen–while also getting you some name recognition–are disciplinary listservs and Twitter. Open engagement also lets others to join the debate.

4. Know your impact: track your work’s use online.

Once you’ve made your contributions to your discipline more visible, track the ways that your work is being used and discussed by others online. There are great tools that can help: the Altmetric.com bookmarklet, Academia.edu’s visualization dashboard, Mendeley’s Social Statistics summaries, basic metrics on Figshare, Github, and Slideshare, and Impactstory profiles.

See the buzz around articles with the Altmetric.com bookmarklet

The Altmetric.com bookmarklet can help you understand the reach of a particular article. Where altmetrics aren’t already displayed on a journal’s website, you can use the bookmarklet. Drag and drop the Altmetric bookmarklet (available here) into your browser toolbar, and then click it next time you’re looking at an article on a publisher’s website. You’ll get a summary of any buzz around your article–tweets, blog posts, mentions in the press, even Reddit discussions.

Track international impact with Academia.edu download map

One of our favorite altmetrics visualization suites can be found on Academia.edu. In addition to a tidy summary of pageviews and referral sources for your documents hosted on their site, they also offer a great map visualization, which can help you to easily see the international reach of your work. This tool can be especially helpful for those in applied, internationally-focused research–for example, Swedish public health researchers studying the spread of disease in Venezuela–to understand the consumption of articles, white papers, and policy documents hosted on Academia.edu. One important limitation is that it doesn’t cover documents hosted elsewhere on the web.

Understand who’s reading your work with Mendeley Social Statistics

Mendeley’s Social Statistics summaries can also help you understand what type of scholars are reading your research, and where they are located. Are they faculty or graduate students? Do they consider themselves biologists, educators, or social scientists? If you’re writing about quantum mechanics, your advisor will be thrilled to see you have many “Faculty” readers in the field of Physics. Like Academia.edu visualizations, Mendeley’s Social Statistics are only available for content hosted on Mendeley.com.

Go beyond the article: track impact for your data, slides, and code

The services above work well for research articles, but what about your data, slides, and code? Luckily, Figshare, Slideshare, and Github (which we discussed in Step 2) track impact in addition to hosting content.

To track your data’s impact, get to know Figshare’s basic social sharing statistics (Twitter, Google+, and Facebook), which are displayed alongside pageviews and cites.

    

To understand how others are using your presentations, use Slideshare’s metrics for slide decks. Impact is broken down into three categories: Views, Actions, and Embeds.

For code, leverage Github’s social functionalities. Stars indicate if others have bookmarked your projects, and Forks allow you to see if others are reusing your code.

Put it all together with Impactstory

So, there are many great places to discover your impact. Too many, in fact: it’s tough to visit all these individually, and tough to see and share an overall picture of your impact that way.

An Impactstory profile can help. Impactstory compiles information from across the Web on how often people view, cite, reuse, and share your journal articles, datasets, software code, and other research outputs. Send your advisor a link to your Impactstory profile and include it in your annual review–she’ll be impressed when reminded of all the work you’ve done (that software package she had forgotten about!) and all the attention your work is getting online (who knew your code gets such buzz!).

Congrats! You’re on your way.

You’re an awesome researcher who has lots of online visibility. Citations to your work have increased, now that you have name recognition and your work can more easily be found and reused. You’re tracking your impact regularly, and have a better understanding of your audience to show for it. Most importantly, you’re officially brag-worthy.

Are there tips I didn’t cover here that you’d like to share? Tell us in the comments.