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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Large scale comparison of QSAR and conformal prediction methods and their applications in drug discovery
|
|---|---|
| Published in |
Journal of Cheminformatics, January 2019
|
| DOI | 10.1186/s13321-018-0325-4 |
| Pubmed ID | |
| Authors |
Nicolas Bosc, Francis Atkinson, Eloy Felix, Anna Gaulton, Anne Hersey, Andrew R. Leach |
X Demographics
The data shown below were collected from the profiles of 29 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 | 6 | 21% |
| United States | 3 | 10% |
| Sweden | 2 | 7% |
| Spain | 1 | 3% |
| Germany | 1 | 3% |
| Brazil | 1 | 3% |
| Japan | 1 | 3% |
| Portugal | 1 | 3% |
| Israel | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 12 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 15 | 52% |
| Members of the public | 13 | 45% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 254 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 254 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 39 | 15% |
| Student > Master | 37 | 15% |
| Student > Ph. D. Student | 33 | 13% |
| Student > Bachelor | 27 | 11% |
| Student > Doctoral Student | 8 | 3% |
| Other | 20 | 8% |
| Unknown | 90 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 43 | 17% |
| Biochemistry, Genetics and Molecular Biology | 28 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 25 | 10% |
| Computer Science | 17 | 7% |
| Agricultural and Biological Sciences | 7 | 3% |
| Other | 28 | 11% |
| Unknown | 106 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 12 August 2022.
All research outputs
#1,181,090
of 24,903,209 outputs
Outputs from Journal of Cheminformatics
#49
of 934 outputs
Outputs of similar age
#27,748
of 448,643 outputs
Outputs of similar age from Journal of Cheminformatics
#3
of 28 outputs
Altmetric has tracked 24,903,209 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 934 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done particularly well, scoring higher than 94% 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 448,643 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 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 92% of its contemporaries.