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Scoring noncovalent protein-ligand interactions: A continuous differentiable function tuned to compute binding affinities

Overview of attention for article published in Perspectives in Drug Discovery and Design, October 1996
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Mentioned by

patent
5 patents

Citations

dimensions_citation
540 Dimensions

Readers on

mendeley
134 Mendeley
citeulike
4 CiteULike
Title
Scoring noncovalent protein-ligand interactions: A continuous differentiable function tuned to compute binding affinities
Published in
Perspectives in Drug Discovery and Design, October 1996
DOI 10.1007/bf00124474
Pubmed ID
Authors

Ajay N. Jain

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Israel 1 <1%
United States 1 <1%
Germany 1 <1%
Canada 1 <1%
Unknown 130 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 23%
Researcher 24 18%
Student > Master 18 13%
Student > Bachelor 9 7%
Student > Doctoral Student 7 5%
Other 18 13%
Unknown 27 20%
Readers by discipline Count As %
Chemistry 42 31%
Agricultural and Biological Sciences 23 17%
Biochemistry, Genetics and Molecular Biology 13 10%
Computer Science 10 7%
Pharmacology, Toxicology and Pharmaceutical Science 5 4%
Other 12 9%
Unknown 29 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 22 April 2014.
All research outputs
#8,571,053
of 25,457,858 outputs
Outputs from Perspectives in Drug Discovery and Design
#420
of 949 outputs
Outputs of similar age
#8,617
of 27,241 outputs
Outputs of similar age from Perspectives in Drug Discovery and Design
#1
of 2 outputs
Altmetric has tracked 25,457,858 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 949 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 30th percentile – i.e., 30% 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 27,241 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them