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Overview of the SAMPL6 host–guest binding affinity prediction challenge

Overview of attention for article published in Perspectives in Drug Discovery and Design, November 2018
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
1 blog
twitter
10 X users

Citations

dimensions_citation
107 Dimensions

Readers on

mendeley
93 Mendeley
Title
Overview of the SAMPL6 host–guest binding affinity prediction challenge
Published in
Perspectives in Drug Discovery and Design, November 2018
DOI 10.1007/s10822-018-0170-6
Pubmed ID
Authors

Andrea Rizzi, Steven Murkli, John N. McNeill, Wei Yao, Matthew Sullivan, Michael K. Gilson, Michael W. Chiu, Lyle Isaacs, Bruce C. Gibb, David L. Mobley, John D. Chodera

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 22%
Researcher 14 15%
Student > Master 14 15%
Professor 9 10%
Student > Bachelor 5 5%
Other 12 13%
Unknown 19 20%
Readers by discipline Count As %
Chemistry 35 38%
Biochemistry, Genetics and Molecular Biology 8 9%
Physics and Astronomy 8 9%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Agricultural and Biological Sciences 3 3%
Other 16 17%
Unknown 19 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 20 October 2022.
All research outputs
#2,490,136
of 25,707,225 outputs
Outputs from Perspectives in Drug Discovery and Design
#58
of 951 outputs
Outputs of similar age
#50,064
of 360,198 outputs
Outputs of similar age from Perspectives in Drug Discovery and Design
#1
of 16 outputs
Altmetric has tracked 25,707,225 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 951 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 93% 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 360,198 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 16 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 93% of its contemporaries.