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Quantifying the Impact and Relevance of Scientific Research

Overview of attention for article published in PLOS ONE, November 2011
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Title
Quantifying the Impact and Relevance of Scientific Research
Published in
PLOS ONE, November 2011
DOI 10.1371/journal.pone.0027537
Pubmed ID
Authors

William J. Sutherland, David Goulson, Simon G. Potts, Lynn V. Dicks

Abstract

Qualitative and quantitative methods are being developed to measure the impacts of research on society, but they suffer from serious drawbacks associated with linking a piece of research to its subsequent impacts. We have developed a method to derive impact scores for individual research publications according to their contribution to answering questions of quantified importance to end users of research. To demonstrate the approach, here we evaluate the impacts of research into means of conserving wild bee populations in the UK. For published papers, there is a weak positive correlation between our impact score and the impact factor of the journal. The process identifies publications that provide high quality evidence relating to issues of strong concern. It can also be used to set future research agendas.

X Demographics

X Demographics

The data shown below were collected from the profiles of 39 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 304 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 4%
United Kingdom 11 4%
Spain 6 2%
Brazil 3 <1%
France 3 <1%
Croatia 2 <1%
Norway 1 <1%
Panama 1 <1%
Ireland 1 <1%
Other 15 5%
Unknown 249 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 74 24%
Student > Ph. D. Student 55 18%
Student > Master 33 11%
Other 23 8%
Student > Bachelor 22 7%
Other 80 26%
Unknown 17 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 90 30%
Environmental Science 49 16%
Social Sciences 34 11%
Computer Science 25 8%
Business, Management and Accounting 18 6%
Other 66 22%
Unknown 22 7%