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X Demographics
Mendeley readers
Attention Score in Context
| Title |
P2Rank: machine learning based tool for rapid and accurate prediction of ligand binding sites from protein structure
|
|---|---|
| Published in |
Journal of Cheminformatics, August 2018
|
| DOI | 10.1186/s13321-018-0285-8 |
| Pubmed ID | |
| Authors |
Radoslav Krivák, David Hoksza |
X Demographics
The data shown below were collected from the profiles of 20 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 | 10% |
| Sweden | 2 | 10% |
| France | 2 | 10% |
| United States | 1 | 5% |
| Canada | 1 | 5% |
| Netherlands | 1 | 5% |
| Czechia | 1 | 5% |
| Russia | 1 | 5% |
| Israel | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 8 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 55% |
| Scientists | 8 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 311 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 311 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 43 | 14% |
| Student > Ph. D. Student | 38 | 12% |
| Student > Bachelor | 37 | 12% |
| Student > Master | 36 | 12% |
| Student > Doctoral Student | 13 | 4% |
| Other | 51 | 16% |
| Unknown | 93 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 70 | 23% |
| Chemistry | 31 | 10% |
| Agricultural and Biological Sciences | 21 | 7% |
| Computer Science | 19 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 16 | 5% |
| Other | 44 | 14% |
| Unknown | 110 | 35% |
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 22 April 2024.
All research outputs
#1,643,212
of 25,874,560 outputs
Outputs from Journal of Cheminformatics
#105
of 982 outputs
Outputs of similar age
#32,962
of 343,109 outputs
Outputs of similar age from Journal of Cheminformatics
#4
of 17 outputs
Altmetric has tracked 25,874,560 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 982 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 343,109 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 90% 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 done well, scoring higher than 76% of its contemporaries.