| ReRank pubmed search results based on impact

See on Scoop.itDual impact of research; towards the impactelligent university

ReRank allows you to rank your pubmedsearch results based on the impact they have had. This allows you to see which of the articles have produced the most discussion, been cited the most or have been recommended by academics.ReRank was built in a hackbreak at the Altmetrics Hackathon on Nov 3, 2012 at PLOS in San Francisco.


The ranking is based on data provided by the ImpactStory API. ImpactStory aggregates altmetrics: diverse impacts from your articles, datasets, blog posts, and more.


ImpactStory classifies metrics along two dimensions: audience (scholars or the public) and type of engagement with research (view, discuss, save, cite, and recommend).For each metric, the coloured bar shows its percentile relative to all articles indexed in the Web of Science that year. The bars show a range, representing the 95% confidence interval around your percentile (and also accounting for ties). Along with ranges, we show “Highly” badges for metrics above the 75th percentile that exceed a minimum frequency. queries the ImpactStory metrics for the publications in your search and returns values by which the results can be ordered.


The source code for ReRank can be found on github here. To use ReRank, drag the following into your bookmarks toolbar, and click it while searching on pubmed.




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About Wilfred Mijnhardt
RMIMR is my virtual playground, a place to reflect on issues from my professional context, my job as Policy Director at Rotterdam School of Management, Erasmus University (RSM). RSM is the international university based business school at Erasmus University Rotterdam. More info here: Here is my list of relevant publications on the topic of my RMIMR weblog: The rss feed for my RMIMR collection is here: Here is my other weblog on impact of research:

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