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X Demographics
Mendeley readers
Attention Score in Context
| Title |
USRCAT: real-time ultrafast shape recognition with pharmacophoric constraints
|
|---|---|
| Published in |
Journal of Cheminformatics, November 2012
|
| DOI | 10.1186/1758-2946-4-27 |
| Pubmed ID | |
| Authors |
Adrian M Schreyer, Tom Blundell |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| Germany | 1 | <1% |
| Portugal | 1 | <1% |
| Ireland | 1 | <1% |
| China | 1 | <1% |
| Unknown | 140 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 35 | 24% |
| Student > Ph. D. Student | 33 | 23% |
| Student > Master | 23 | 16% |
| Other | 11 | 8% |
| Student > Bachelor | 9 | 6% |
| Other | 14 | 10% |
| Unknown | 21 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 31 | 21% |
| Agricultural and Biological Sciences | 25 | 17% |
| Biochemistry, Genetics and Molecular Biology | 20 | 14% |
| Computer Science | 17 | 12% |
| Engineering | 5 | 3% |
| Other | 17 | 12% |
| Unknown | 31 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 03 February 2022.
All research outputs
#2,154,090
of 23,041,514 outputs
Outputs from Journal of Cheminformatics
#206
of 842 outputs
Outputs of similar age
#15,578
of 184,314 outputs
Outputs of similar age from Journal of Cheminformatics
#2
of 16 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 842 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 done well, scoring higher than 75% 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 184,314 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 91% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.