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Mendeley readers
Attention Score in Context
| Title |
Analysis of in vitrobioactivity data extracted from drug discovery literature and patents: Ranking 1654 human protein targets by assayed compounds and molecular scaffolds
|
|---|---|
| Published in |
Journal of Cheminformatics, May 2011
|
| DOI | 10.1186/1758-2946-3-14 |
| Pubmed ID | |
| Authors |
Christopher Southan, Kiran Boppana, Sarma ARP Jagarlapudi, Sorel Muresan |
| Abstract |
Since the classic Hopkins and Groom druggable genome review in 2002, there have been a number of publications updating both the hypothetical and successful human drug target statistics. However, listings of research targets that define the area between these two extremes are sparse because of the challenges of collating published information at the necessary scale. We have addressed this by interrogating databases, populated by expert curation, of bioactivity data extracted from patents and journal papers over the last 30 years. |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 4% |
| Sweden | 1 | 2% |
| Netherlands | 1 | 2% |
| Romania | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 51 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 28% |
| Student > Ph. D. Student | 13 | 23% |
| Other | 10 | 18% |
| Student > Postgraduate | 5 | 9% |
| Professor > Associate Professor | 4 | 7% |
| Other | 7 | 12% |
| Unknown | 2 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 28% |
| Chemistry | 15 | 26% |
| Computer Science | 8 | 14% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Medicine and Dentistry | 4 | 7% |
| Other | 5 | 9% |
| Unknown | 5 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 14 October 2016.
All research outputs
#2,632,301
of 22,710,079 outputs
Outputs from Journal of Cheminformatics
#262
of 828 outputs
Outputs of similar age
#12,745
of 109,867 outputs
Outputs of similar age from Journal of Cheminformatics
#5
of 17 outputs
Altmetric has tracked 22,710,079 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 828 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has gotten more attention than average, scoring higher than 68% 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 109,867 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 88% 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 gotten more attention than average, scoring higher than 70% of its contemporaries.