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Predicting target profiles with confidence as a service using docking scores

Overview of attention for article published in Journal of Cheminformatics, October 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
6 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
34 Mendeley
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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

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.
Mendeley readers

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

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.