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Calculating Partition Coefficients of Peptides by the Addition Method

Overview of attention for article published in Journal of Molecular Modeling, October 1999
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)

Mentioned by

patent
3 patents

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
45 Mendeley
Title
Calculating Partition Coefficients of Peptides by the Addition Method
Published in
Journal of Molecular Modeling, October 1999
DOI 10.1007/s008940050118
Authors

Peng Tao, Renxiao Wang, Luhua Lai

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Russia 1 2%
Australia 1 2%
Unknown 42 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 24%
Researcher 10 22%
Student > Doctoral Student 4 9%
Other 3 7%
Professor 2 4%
Other 7 16%
Unknown 8 18%
Readers by discipline Count As %
Chemistry 19 42%
Agricultural and Biological Sciences 6 13%
Biochemistry, Genetics and Molecular Biology 3 7%
Computer Science 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 5 11%
Unknown 8 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 02 December 2021.
All research outputs
#5,446,994
of 25,374,647 outputs
Outputs from Journal of Molecular Modeling
#97
of 897 outputs
Outputs of similar age
#5,466
of 35,605 outputs
Outputs of similar age from Journal of Molecular Modeling
#1
of 2 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 897 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done well, scoring higher than 86% 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 35,605 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
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