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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PSnpBind-ML: predicting the effect of binding site mutations on protein-ligand binding affinity
|
|---|---|
| Published in |
Journal of Cheminformatics, March 2023
|
| DOI | 10.1186/s13321-023-00701-3 |
| Pubmed ID | |
| Authors |
Ammar Ammar, Rachel Cavill, Chris Evelo, Egon Willighagen |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 11% |
| United Kingdom | 1 | 11% |
| Japan | 1 | 11% |
| Sweden | 1 | 11% |
| Israel | 1 | 11% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 67% |
| Members of the public | 2 | 22% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 13% |
| Student > Bachelor | 2 | 9% |
| Student > Master | 2 | 9% |
| Student > Ph. D. Student | 1 | 4% |
| Researcher | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 12 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 13% |
| Biochemistry, Genetics and Molecular Biology | 3 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Energy | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 12 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 April 2023.
All research outputs
#2,815,609
of 25,459,177 outputs
Outputs from Journal of Cheminformatics
#252
of 963 outputs
Outputs of similar age
#55,365
of 422,818 outputs
Outputs of similar age from Journal of Cheminformatics
#4
of 38 outputs
Altmetric has tracked 25,459,177 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 963 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has gotten more attention than average, scoring higher than 73% 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 422,818 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 86% of its contemporaries.
We're also able to compare this research output to 38 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.