Open source drug discovery - A limited tutorial.

Overview of attention for article published in Parasitology, January 2013
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About this score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#3 of 667)
  • High score compared to outputs of the same age (95th percentile)
  • High score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
2 blogs
twitter
15 tweeters
facebook
1 Facebook page
googleplus
10 Google+ users

Readers on

mendeley
29 Mendeley
citeulike
3 CiteULike
Title
Open source drug discovery - A limited tutorial.
Published in
Parasitology, January 2013
DOI 10.1017/s0031182013001121
Pubmed ID
Abstract

Open science is a new concept for the practice of experimental laboratory-based research, such as drug discovery. The authors have recently gained experience in how to run such projects and here describe some straightforward steps others may wish to take towards more openness in their own research programmes. Existing and inexpensive online tools can solve many challenges, while some psychological barriers to the free sharing of all data and ideas are more substantial.

Twitter Demographics

The data shown below were collected from the profiles of 15 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Japan 1 3%
Indonesia 1 3%
Brazil 1 3%
United States 1 3%
Unknown 24 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 17%
Other 4 14%
Unknown 20 69%
Readers by discipline Count As %
Biological Sciences 11 38%
Chemistry 6 21%
Computer and Information Science 3 10%
Medicine 2 7%
Environmental Sciences 1 3%
Other 6 21%

Score in context

This research output has an Altmetric score of 35. This is our high-level measure of the quality and quantity of online attention that it has received. This score was calculated when the research output was last mentioned on 15 May 2015.
All research outputs
#118,968
of 4,669,204 outputs
Outputs from Parasitology
#3
of 667 outputs
Outputs of similar age
#4,236
of 94,349 outputs
Outputs of similar age from Parasitology
#1
of 17 outputs
Altmetric has tracked 4,669,204 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 667 research outputs from this source. They receive a mean score of 3.7. This one has done particularly well, scoring higher than 99% 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 score to the 94,349 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 95% of its contemporaries.
We're also able to compare this research output to 17 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.