Webcast Invitation: Article level metrics with Jennifer Lin

July 12, 2012
4:00 PM UTCto5:00 PM UTC

Another free SPARC Europe online event

On July 12, please join us as we host Jennifer Lin, Product Manager of PLoS, for an in-depth look at the current status of Article-Level Metrics, a discussion of their efforts to reach out to institutions; publishers; and funders for wide-spread adoption, and a glimpse into what is on the horizon for furtherĀ development.

To learn more about in advance of the call, visit:
http://article-level-metrics.plos.org/

 

Jennifer Lin – Product Manager

Jennifer Lin is the product manager at Public Library of Science. She is passionate about open access and its political and social impacts. As a former business consultant with Accenture, she worked with Fortune 500 companies as well as governments to develop and deploy new products and services. Jennifer received her Ph.D. in political philosophy and has served as an instructor at Johns Hopkins University.

Thursday, July 12, 2012
4:30 – 5:30PM CEST
Registration is free, but required. RSVP by July 9th at
http://sparc.arl.org/civicrm/event/info?reset=1&id=10HYPERLINK “http://sparc.arl.org/civicrm/event/info?reset=1&id=107″7.

 

Building New Measures for Impact: Article Level Metrics
In March 2009, the Public Library of Science (PLoS) became the first publisher to track transparent and comprehensive information about the usage and reach of published articles – rather than journals – so that the academic community has another avenue to help assess their value. These measures are called “Article-Level Metrics (ALMs),” and currently include:

  • Article Usage Statistics – HTML pageviews, and PDF and XML downloads;
  • Citations – From Web of Science, PubMed Central, Scopus, and Crossref:
  • Social Bookmarks – currently from CiteULike and Connotea;
  • Comments – left by article readers
  • Notes – also from readers
  • Blog posts – aggregated from a variety of sources

A primary aim of Article Level Metrics is to provide the academic community with new ways to evaluate individual articles directly on their own merits, rather than on the reputation of the journal in which they happen to be published. As a result, Article Level Metrics hold the promise of helping new ways for measuring and evaluating research quality – and impact – to evolve.

SPARC Global