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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Scoring Functions for Protein-Ligand Binding Affinity Prediction Using Structure-based Deep Learning: A Review
|
|---|---|
| Published in |
Frontiers in Bioinformatics, June 2022
|
| DOI | 10.3389/fbinf.2022.885983 |
| Pubmed ID | |
| Authors |
Rocco Meli, Garrett M. Morris, Philip C. Biggin |
X Demographics
The data shown below were collected from the profiles of 18 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 | 4 | 22% |
| United States | 3 | 17% |
| India | 1 | 6% |
| Japan | 1 | 6% |
| Sweden | 1 | 6% |
| Korea, Republic of | 1 | 6% |
| Czechia | 1 | 6% |
| Switzerland | 1 | 6% |
| Unknown | 5 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 56% |
| Scientists | 8 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 119 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 13% |
| Student > Master | 11 | 9% |
| Researcher | 9 | 8% |
| Student > Bachelor | 9 | 8% |
| Student > Doctoral Student | 5 | 4% |
| Other | 15 | 13% |
| Unknown | 54 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 14% |
| Chemistry | 12 | 10% |
| Computer Science | 7 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 6% |
| Unspecified | 5 | 4% |
| Other | 17 | 14% |
| Unknown | 54 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 13 July 2022.
All research outputs
#4,326,941
of 25,992,468 outputs
Outputs from Frontiers in Bioinformatics
#1
of 1 outputs
Outputs of similar age
#86,345
of 448,080 outputs
Outputs of similar age from Frontiers in Bioinformatics
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one scored the same or higher as 0 of them.
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 448,080 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 80% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them