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CycPeptMPDB: A Comprehensive Database of Membrane Permeability of Cyclic Peptides

Overview of attention for article published in Journal of Chemical Information and Modeling, March 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#30 of 5,822)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
5 news outlets
twitter
61 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
34 Mendeley
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Title
CycPeptMPDB: A Comprehensive Database of Membrane Permeability of Cyclic Peptides
Published in
Journal of Chemical Information and Modeling, March 2023
DOI 10.1021/acs.jcim.2c01573
Pubmed ID
Authors

Jianan Li, Keisuke Yanagisawa, Masatake Sugita, Takuya Fujie, Masahito Ohue, Yutaka Akiyama

X Demographics

X Demographics

The data shown below were collected from the profiles of 61 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 %
Student > Ph. D. Student 6 18%
Researcher 3 9%
Student > Master 2 6%
Professor 1 3%
Student > Bachelor 1 3%
Other 1 3%
Unknown 20 59%
Readers by discipline Count As %
Chemistry 5 15%
Biochemistry, Genetics and Molecular Biology 3 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Computer Science 2 6%
Medicine and Dentistry 1 3%
Other 1 3%
Unknown 20 59%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 72. 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 October 2023.
All research outputs
#605,517
of 25,959,914 outputs
Outputs from Journal of Chemical Information and Modeling
#30
of 5,822 outputs
Outputs of similar age
#13,904
of 438,255 outputs
Outputs of similar age from Journal of Chemical Information and Modeling
#2
of 167 outputs
Altmetric has tracked 25,959,914 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,822 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done particularly well, scoring higher than 99% 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 438,255 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 167 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 98% of its contemporaries.