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Proteomics Data Analysis

Overview of attention for book
Proteomics Data Analysis
Springer US
Attention for Chapter: Deep for Protein–Protein Interaction Site Prediction
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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)

Mentioned by

twitter
16 tweeters

Readers on

mendeley
11 Mendeley
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Chapter title
Deep for Protein–Protein Interaction Site Prediction
Book title
Proteomics Data Analysis
Published in
Methods in molecular biology, July 2021
DOI 10.1007/978-1-0716-1641-3_16
Pubmed ID
Book ISBNs
978-1-07-161640-6, 978-1-07-161641-3
Authors

Arian R. Jamasb, Ben Day, Cătălina Cangea, Pietro Liò, Tom L. Blundell, Jamasb, Arian R., Day, Ben, Cangea, Cătălina, Liò, Pietro, Blundell, Tom L.

Twitter Demographics

The data shown below were collected from the profiles of 16 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 27%
Researcher 2 18%
Professor 1 9%
Student > Master 1 9%
Student > Bachelor 1 9%
Other 0 0%
Unknown 3 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 27%
Computer Science 2 18%
Agricultural and Biological Sciences 1 9%
Medicine and Dentistry 1 9%
Chemistry 1 9%
Other 0 0%
Unknown 3 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 31 May 2022.
All research outputs
#3,132,959
of 22,562,129 outputs
Outputs from Methods in molecular biology
#722
of 12,976 outputs
Outputs of similar age
#66,672
of 343,573 outputs
Outputs of similar age from Methods in molecular biology
#1
of 1 outputs
Altmetric has tracked 22,562,129 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,976 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 94% 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 343,573 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 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