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Why Open Drug Discovery Needs Four Simple Rules for Licensing Data and Models

Overview of attention for article published in PLoS Computational Biology, September 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
3 blogs
twitter
53 X users
googleplus
4 Google+ users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
71 Mendeley
citeulike
4 CiteULike
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Title
Why Open Drug Discovery Needs Four Simple Rules for Licensing Data and Models
Published in
PLoS Computational Biology, September 2012
DOI 10.1371/journal.pcbi.1002706
Pubmed ID
Authors

Antony J. Williams, John Wilbanks, Sean Ekins

Abstract

When we look at the rapid growth of scientific databases on the Internet in the past decade, we tend to take the accessibility and provenance of the data for granted. As we see a future of increased database integration, the licensing of the data may be a hurdle that hampers progress and usability. We have formulated four rules for licensing data for open drug discovery, which we propose as a starting point for consideration by databases and for their ultimate adoption. This work could also be extended to the computational models derived from such data. We suggest that scientists in the future will need to consider data licensing before they embark upon re-using such content in databases they construct themselves.

X Demographics

X Demographics

The data shown below were collected from the profiles of 53 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 11%
Germany 4 6%
Brazil 2 3%
Colombia 1 1%
United Kingdom 1 1%
Czechia 1 1%
Unknown 54 76%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 27%
Other 8 11%
Student > Ph. D. Student 8 11%
Student > Master 8 11%
Professor > Associate Professor 7 10%
Other 16 23%
Unknown 5 7%
Readers by discipline Count As %
Computer Science 16 23%
Agricultural and Biological Sciences 14 20%
Chemistry 8 11%
Medicine and Dentistry 7 10%
Pharmacology, Toxicology and Pharmaceutical Science 5 7%
Other 14 20%
Unknown 7 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 56. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 August 2016.
All research outputs
#756,178
of 25,374,917 outputs
Outputs from PLoS Computational Biology
#554
of 8,960 outputs
Outputs of similar age
#4,119
of 190,956 outputs
Outputs of similar age from PLoS Computational Biology
#6
of 117 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 190,956 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.