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Exploring non-linear distance metrics in the structure–activity space: QSAR models for human estrogen receptor

Overview of attention for article published in Journal of Cheminformatics, September 2018
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

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7 Dimensions

Readers on

mendeley
16 Mendeley
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Title
Exploring non-linear distance metrics in the structure–activity space: QSAR models for human estrogen receptor
Published in
Journal of Cheminformatics, September 2018
DOI 10.1186/s13321-018-0300-0
Pubmed ID
Authors

Ilya A. Balabin, Richard S. Judson

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 31%
Student > Bachelor 3 19%
Student > Ph. D. Student 2 13%
Professor 1 6%
Other 1 6%
Other 1 6%
Unknown 3 19%
Readers by discipline Count As %
Chemistry 8 50%
Environmental Science 2 13%
Psychology 1 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Unknown 4 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 September 2018.
All research outputs
#15,207,446
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#755
of 891 outputs
Outputs of similar age
#195,224
of 345,202 outputs
Outputs of similar age from Journal of Cheminformatics
#18
of 18 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
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 is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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 345,202 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.