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Open source drug discovery – A limited tutorial

Overview of attention for article published in Parasitology, August 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#17 of 2,069)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
2 blogs
twitter
17 tweeters
facebook
1 Facebook page
wikipedia
1 Wikipedia page
googleplus
10 Google+ users

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
62 Mendeley
citeulike
6 CiteULike
Title
Open source drug discovery – A limited tutorial
Published in
Parasitology, August 2013
DOI 10.1017/s0031182013001121
Pubmed ID
Authors

MURRAY N. ROBERTSON, PAUL M. YLIOJA, ALICE E. WILLIAMSON, MICHAEL WOELFLE, MICHAEL ROBINS, KATRINA A. BADIOLA, PAUL WILLIS, PIERO OLLIARO, TIMOTHY N. C. WELLS, MATTHEW H. TODD

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 17 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 2%
Brazil 1 2%
United Kingdom 1 2%
Japan 1 2%
United States 1 2%
Unknown 57 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 27%
Student > Ph. D. Student 12 19%
Student > Master 10 16%
Student > Bachelor 4 6%
Other 3 5%
Other 14 23%
Unknown 2 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 18%
Medicine and Dentistry 10 16%
Chemistry 10 16%
Computer Science 8 13%
Engineering 4 6%
Other 17 27%
Unknown 2 3%

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 24 April 2019.
All research outputs
#549,403
of 15,131,598 outputs
Outputs from Parasitology
#17
of 2,069 outputs
Outputs of similar age
#6,870
of 161,668 outputs
Outputs of similar age from Parasitology
#2
of 32 outputs
Altmetric has tracked 15,131,598 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,069 research outputs from this source. They receive a mean Attention Score of 4.1. 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 Altmetric Attention Score to the 161,668 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 32 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 93% of its contemporaries.