ReaderMeter

alpha

…research impact, crowdsourced

It's been a while… but we're working to bring back ReaderMeter.

altmetrics
© 2010 Dario Taraborelli — Some rights reserved.

About

Using readership-based metrics we can estimate impact on the basis of the consumption of scientific content by a population of readers. ReaderMeter adapts two popular impact metrics for authors (the H-Index [1] and the G-Index [2]) and redefines them using bookmarks instead of citations as an HR-Index and a GR-Index respectively: hover over the index values for an explanation of their meaning. Analysing readership data can help discover areas of real-time impact that may not be visible to traditional citation-based measurements [3-5]. Readership data is made available via the Mendeley API.

References

  1. Hirsch, J. E. (2005). An index to quantify an individual's scientific research output, PNAS 102 (46): 16569–16572. doi:10.1073/pnas.0507655102
  2. Egghe, L. (2006) Theory and practise of the g-index, Scientometrics, 69 (1): 131–152. doi:10.1007/s11192-006-0144-7
  3. Taraborelli, D. (2008). Soft peer review. Social software and distributed scientific evaluation, Proceedings of the 8th International Conference on the Design of Cooperative Systems (COOP '08)
  4. Priem, P. and Hemminger, B. M. (2010). Scientometrics 2.0: Toward new metrics of scholarly impact on the social Web, First Monday, 15(7) - 5 July 2010
  5. Priem, P., Taraborelli, D., Groth, P. and Neylon, C. (2010) Alt-metrics Manifesto

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Frequently Asked Questions

Why care about readership metrics?
There are different ways to measure impact. Readership metrics based on reference management services can inform us in real-time on how scientific content is consumed by a large population of users. Here's some background on what inspired this project.
Why use Mendeley as a source instead of other services?
The service currently uses Mendeley because of the richness of their readership data and their large user population. Readership statistics from other sources with an open API (such as CiteULike or Bibsonomy) will be added in the future.
My name is "John Smith", but not that "John Smith", can you disambiguate my name?
ReaderMeter relies on author data from external sources. As long as no solution is available on the data provider's side to uniquely identify authors, metrics for authors with common names may be unreliable (i.e. include homonyms).
My name is "John D. Smith" but as an author I am known as "John Smith", "John D Smith" and "JD Smith". Can you merge these alternate spellings?
Spelling variants will be addressed in the next major upgrade.
How does ReaderMeter work?
It pulls readership data from an external data source and generates author statistics. It was built with PHP, CSS3, JQuery, JSON, the Google Visualization API and lots of caffeine.
Is ReaderMeter's code available?
The source code is currently not ready for public release.