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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Galaxy workflows for fragment-based virtual screening: a case study on the SARS-CoV-2 main protease
|
|---|---|
| Published in |
Journal of Cheminformatics, April 2022
|
| DOI | 10.1186/s13321-022-00588-6 |
| Pubmed ID | |
| Authors |
Simon Bray, Tim Dudgeon, Rachael Skyner, Rolf Backofen, Björn Grüning, Frank von Delft |
X Demographics
The data shown below were collected from the profiles of 17 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 States | 2 | 12% |
| United Kingdom | 2 | 12% |
| Germany | 2 | 12% |
| Belgium | 1 | 6% |
| India | 1 | 6% |
| Unknown | 9 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 71% |
| Scientists | 3 | 18% |
| Science communicators (journalists, bloggers, editors) | 2 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 40% |
| Librarian | 1 | 5% |
| Other | 1 | 5% |
| Lecturer > Senior Lecturer | 1 | 5% |
| Professor | 1 | 5% |
| Other | 3 | 15% |
| Unknown | 5 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 20% |
| Chemistry | 3 | 15% |
| Social Sciences | 2 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 10% |
| Medicine and Dentistry | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 7 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 19 May 2022.
All research outputs
#3,249,842
of 24,514,423 outputs
Outputs from Journal of Cheminformatics
#309
of 910 outputs
Outputs of similar age
#72,679
of 433,466 outputs
Outputs of similar age from Journal of Cheminformatics
#11
of 19 outputs
Altmetric has tracked 24,514,423 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 910 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has gotten more attention than average, scoring higher than 66% 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 433,466 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 83% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.