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. |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 5 | 29% |
Australia | 1 | 6% |
Brazil | 1 | 6% |
New Zealand | 1 | 6% |
United States | 1 | 6% |
Curaçao | 1 | 6% |
Unknown | 7 | 41% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 59% |
Scientists | 7 | 41% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Indonesia | 1 | 1% |
Japan | 1 | 1% |
United States | 1 | 1% |
Brazil | 1 | 1% |
Unknown | 73 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 20 | 26% |
Student > Ph. D. Student | 13 | 17% |
Student > Master | 10 | 13% |
Student > Bachelor | 7 | 9% |
Librarian | 5 | 6% |
Other | 15 | 19% |
Unknown | 7 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 13 | 17% |
Agricultural and Biological Sciences | 11 | 14% |
Chemistry | 10 | 13% |
Computer Science | 9 | 12% |
Engineering | 5 | 6% |
Other | 18 | 23% |
Unknown | 11 | 14% |
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 25 October 2020.
All research outputs
#1,105,161
of 25,457,297 outputs
Outputs from Parasitology
#41
of 2,817 outputs
Outputs of similar age
#9,318
of 212,379 outputs
Outputs of similar age from Parasitology
#1
of 28 outputs
Altmetric has tracked 25,457,297 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,817 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done particularly well, scoring higher than 98% 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 212,379 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 28 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 96% of its contemporaries.