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Mendeley readers
Attention Score in Context
| Title |
Drug Discovery Using Chemical Systems Biology: Repositioning the Safe Medicine Comtan to Treat Multi-Drug and Extensively Drug Resistant Tuberculosis
|
|---|---|
| Published in |
PLoS Computational Biology, July 2009
|
| DOI | 10.1371/journal.pcbi.1000423 |
| Pubmed ID | |
| Authors |
Sarah L. Kinnings, Nina Liu, Nancy Buchmeier, Peter J. Tonge, Lei Xie, Philip E. Bourne |
Mendeley readers
The data shown below were compiled from readership statistics for 364 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 2% |
| Germany | 7 | 2% |
| United Kingdom | 6 | 2% |
| India | 4 | 1% |
| Malaysia | 1 | <1% |
| Portugal | 1 | <1% |
| Brazil | 1 | <1% |
| Norway | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 330 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 72 | 20% |
| Researcher | 64 | 18% |
| Student > Master | 38 | 10% |
| Student > Bachelor | 31 | 9% |
| Professor | 17 | 5% |
| Other | 64 | 18% |
| Unknown | 78 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 71 | 20% |
| Biochemistry, Genetics and Molecular Biology | 41 | 11% |
| Chemistry | 41 | 11% |
| Medicine and Dentistry | 35 | 10% |
| Computer Science | 24 | 7% |
| Other | 67 | 18% |
| Unknown | 85 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 27 October 2021.
All research outputs
#4,836,328
of 25,374,917 outputs
Outputs from PLoS Computational Biology
#3,865
of 8,960 outputs
Outputs of similar age
#20,125
of 121,899 outputs
Outputs of similar age from PLoS Computational Biology
#20
of 45 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% 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 gotten more attention than average, scoring higher than 56% 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 121,899 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.