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X Demographics
Mendeley readers
Attention Score in Context
Title |
Predicting target profiles with confidence as a service using docking scores
|
---|---|
Published in |
Journal of Cheminformatics, October 2020
|
DOI | 10.1186/s13321-020-00464-1 |
Authors |
Laeeq Ahmed, Hiba Alogheli, Staffan Arvidsson McShane, Jonathan Alvarsson, Arvid Berg, Anders Larsson, Wesley Schaal, Erwin Laure, Ola Spjuth |
X Demographics
The data shown below were collected from the profiles of 6 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 | 2 | 33% |
Japan | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 4 | 67% |
Members of the public | 1 | 17% |
Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 11 | 32% |
Student > Ph. D. Student | 4 | 12% |
Student > Master | 3 | 9% |
Student > Bachelor | 3 | 9% |
Student > Doctoral Student | 1 | 3% |
Other | 6 | 18% |
Unknown | 6 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 7 | 21% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 9% |
Computer Science | 3 | 9% |
Agricultural and Biological Sciences | 3 | 9% |
Biochemistry, Genetics and Molecular Biology | 2 | 6% |
Other | 7 | 21% |
Unknown | 9 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 01 November 2020.
All research outputs
#2,894,241
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#285
of 891 outputs
Outputs of similar age
#73,748
of 419,585 outputs
Outputs of similar age from Journal of Cheminformatics
#14
of 22 outputs
Altmetric has tracked 24,143,470 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 891 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has gotten more attention than average, scoring higher than 68% 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 419,585 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 82% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.