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PDAUG: a Galaxy based toolset for peptide library analysis, visualization, and machine learning modeling

Overview of attention for article published in BMC Bioinformatics, May 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
21 Mendeley
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Title
PDAUG: a Galaxy based toolset for peptide library analysis, visualization, and machine learning modeling
Published in
BMC Bioinformatics, May 2022
DOI 10.1186/s12859-022-04727-6
Pubmed ID
Authors

Jayadev Joshi, Daniel Blankenberg

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 24%
Student > Doctoral Student 2 10%
Student > Bachelor 2 10%
Student > Ph. D. Student 2 10%
Professor 1 5%
Other 3 14%
Unknown 6 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 24%
Chemistry 3 14%
Engineering 2 10%
Computer Science 1 5%
Chemical Engineering 1 5%
Other 2 10%
Unknown 7 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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
#14,110,222
of 23,905,714 outputs
Outputs from BMC Bioinformatics
#4,301
of 7,457 outputs
Outputs of similar age
#189,098
of 442,968 outputs
Outputs of similar age from BMC Bioinformatics
#81
of 149 outputs
Altmetric has tracked 23,905,714 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,457 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
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 442,968 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 55% of its contemporaries.
We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.