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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Open-source platform to benchmark fingerprints for ligand-based virtual screening
|
|---|---|
| Published in |
Journal of Cheminformatics, May 2013
|
| DOI | 10.1186/1758-2946-5-26 |
| Pubmed ID | |
| Authors |
Sereina Riniker, Gregory A Landrum |
X Demographics
The data shown below were collected from the profiles of 15 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 | 2 | 13% |
| United States | 2 | 13% |
| China | 1 | 7% |
| Japan | 1 | 7% |
| Germany | 1 | 7% |
| Spain | 1 | 7% |
| Unknown | 7 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 53% |
| Members of the public | 6 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 344 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 1% |
| Brazil | 4 | 1% |
| Portugal | 1 | <1% |
| Sweden | 1 | <1% |
| India | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 331 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 72 | 21% |
| Researcher | 64 | 19% |
| Student > Master | 58 | 17% |
| Student > Bachelor | 31 | 9% |
| Other | 21 | 6% |
| Other | 43 | 13% |
| Unknown | 55 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 90 | 26% |
| Computer Science | 49 | 14% |
| Agricultural and Biological Sciences | 43 | 13% |
| Biochemistry, Genetics and Molecular Biology | 33 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 17 | 5% |
| Other | 43 | 13% |
| Unknown | 69 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 05 December 2022.
All research outputs
#1,633,582
of 25,761,363 outputs
Outputs from Journal of Cheminformatics
#104
of 981 outputs
Outputs of similar age
#13,283
of 208,724 outputs
Outputs of similar age from Journal of Cheminformatics
#3
of 14 outputs
Altmetric has tracked 25,761,363 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 981 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one has done well, scoring higher than 89% 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 208,724 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 93% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.