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Computational Peptidology

Overview of attention for book
Overall attention for this book and its chapters
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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
5 X users
wikipedia
2 Wikipedia pages
googleplus
1 Google+ user
video
1 YouTube creator

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
304 Mendeley
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Title
Computational Peptidology
Published by
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2285-7
ISBNs
978-1-4939-2284-0, 978-1-4939-2285-7
Editors

Peng Zhou, Jian Huang

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 304 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
United States 2 <1%
Brazil 1 <1%
Israel 1 <1%
Belgium 1 <1%
Colombia 1 <1%
Spain 1 <1%
China 1 <1%
Unknown 294 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 69 23%
Student > Bachelor 39 13%
Student > Master 38 13%
Researcher 32 11%
Student > Doctoral Student 13 4%
Other 43 14%
Unknown 70 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 81 27%
Biochemistry, Genetics and Molecular Biology 65 21%
Chemistry 33 11%
Computer Science 10 3%
Immunology and Microbiology 10 3%
Other 29 10%
Unknown 76 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 06 August 2020.
All research outputs
#5,310,838
of 26,017,215 outputs
Outputs from Methods in molecular biology
#1,552
of 14,425 outputs
Outputs of similar age
#68,555
of 365,327 outputs
Outputs of similar age from Methods in molecular biology
#110
of 1,005 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,425 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 89% 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 365,327 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 80% of its contemporaries.
We're also able to compare this research output to 1,005 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.