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Computational Peptidology

Overview of attention for book
Attention for Chapter 11: Computational Approaches to Developing Short Cyclic Peptide Modulators of Protein–Protein Interactions
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
49 Mendeley
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Chapter title
Computational Approaches to Developing Short Cyclic Peptide Modulators of Protein–Protein Interactions
Chapter number 11
Book title
Computational Peptidology
Published in
Methods in molecular biology, December 2014
DOI 10.1007/978-1-4939-2285-7_11
Pubmed ID
Book ISBNs
978-1-4939-2284-0, 978-1-4939-2285-7
Authors

Fergal J. Duffy, Marc Devocelle, Denis C. Shields, Duffy FJ, Devocelle M, Shields DC, Duffy, Fergal J., Devocelle, Marc, Shields, Denis C.

Editors

Peng Zhou, Jian Huang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 2%
Brazil 1 2%
Unknown 47 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 20%
Student > Ph. D. Student 9 18%
Student > Bachelor 5 10%
Student > Master 3 6%
Lecturer 2 4%
Other 3 6%
Unknown 17 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 14%
Chemistry 6 12%
Agricultural and Biological Sciences 4 8%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Medicine and Dentistry 3 6%
Other 4 8%
Unknown 22 45%
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 06 August 2020.
All research outputs
#7,473,822
of 22,849,304 outputs
Outputs from Methods in molecular biology
#2,324
of 13,127 outputs
Outputs of similar age
#108,117
of 361,547 outputs
Outputs of similar age from Methods in molecular biology
#166
of 997 outputs
Altmetric has tracked 22,849,304 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,127 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 76% 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 361,547 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 54% of its contemporaries.
We're also able to compare this research output to 997 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.