How Mendeley illuminates a broader definition of impact William Gunn, Ph.D. Head of Academic Outreach https://orcid.org/0000-0002-3555-2054.

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Presentation transcript:

How Mendeley illuminates a broader definition of impact William Gunn, Ph.D. Head of Academic Outreach

...and aggregates research data in the cloud Mendeley extracts research data… Install Mendeley Desktop Collecting rich signals from domain experts.

Home Work Mobile Cloud Library

Shared Folder

Read papers + keep track of notes 470M documents

Taking some misery out of writing

Mendeley Research Catalog

New forms of discovery Mendeley Suggest –personalized recommendations based on reading history related articles –relatedness based on document similarity recommender frameworks –implement recommendations as a service third-party recommender services –serve niche audiences

Information Extraction

We are publishing this data to the LOD cloud

Connecting researchers Search Read Annotate Organize Write Import

Data we collect Metadata about the paper –title, author, tags, annotations, reads, shares, groups Metadata about the researcher –discipline, educational status, country, papers they’ve authored, presentations, expertise

2.7M researchers

Defining readership Each document addition is a “read” stamped with metadata describing the context of the read event a read is like a citation, but faster and captures more

research impacts more than authors

Citations are slow

Mendeley is fast

Readership vs. citations it comes with a payload of metadata it accrues faster it illuminates previously hidden impact

altmetrics show broader impact

altmetrics show broader impact

Issues To Be Addressed Identity Privacy Attribution Gaming Filtration standards/ best practice

What would people build if they could get the data? Impact Story – get credit for all your work PLOS ALM – article-level metrics for papers Plum Analytics – bespoke analytics for libraries (EBSCO) Altmetric.com – altmetrics for publishers. (Digital Science)