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Metrics, Citations, and Impact Factors

Information about citaion analysis, impact factors, altmetrics, and other ways to gauge the influence of scholarly work.

Altmetrics measure impact in ways traditional citation counts and impact factors don't. This can include social media buzz, usage statistics, follower counts, and more. They can also assess the impact of other research outputs like data sets, software, posters and presentations, and videos. They can also provide information on the breadth and composition of your audience.

Altmetrics aren't meant to replace traditional measures, but complement them. They can help gauge the immediate impact of your work, before enough time has passed for formal citations. They are measures of attention, not necessarily quality.

Examples of Altmetrics

  • Social media mentions, shares, comments, and followers
  • Page views and download counts from Digital Commons, PubMed, arXiv, SSRN, Figshare, GitHub, ICPSR, Slideshare, etc.
  • Citations from GoogleScholar, Data Citation Index, etc.
  • Bookmarks on Mendeley, CiteULike, Delicious
  • Media coverage, scholarly blog posts, and podcast mentions
  • Ratings on Amazon or GoodReads
  • Views on YouTube or Vimeo, as well as likes/dislikes, comments, and shares

Sources for Altmetrics

Tips for Using Altmetrics to Support Professional Advancement

Context is important!  Rather than just listing a bunch of statistics on your CV or tenure dossier, explain what they mean.  Provide a qualitative explanation to back up your quantitative data.

  • Instead of merely stating that your paper was the subject of 14 blog posts, explain that this puts it in the 98th percentile of all scientific papers published in 2015.
     
  • Instead of saying that your article was mentioned on Twitter 153 times, explain that the hashtag was the third most popular trending topic on the site from June 6-9, 2014.
     

Include metrics that document the types of impact you want to showcase, rather than including every possible statistic  you can find. 

  • If you want to document scholarly impact, then share information about Mendeley bookmarks (and the demographics of those bookmarking your research), reviews on F1000, or Digital Commons downloads from other universities. 
     
  • If you want to show that your work enjoyed a lot of public attention, then include Facebook shares, retweets, Wikipedia citations, blog hits, and so on.

Being selective with your statistics will help them make more impact, instead of overwhelming your audience with numbers.