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A lightweight classification of adaptor proteins using transformer networks

Overview of attention for article published in BMC Bioinformatics, November 2022
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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4 X users

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mendeley
4 Mendeley
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Title
A lightweight classification of adaptor proteins using transformer networks
Published in
BMC Bioinformatics, November 2022
DOI 10.1186/s12859-022-05000-6
Pubmed ID
Authors

Sylwan Rahardja, Mou Wang, Binh P. Nguyen, Pasi Fränti, Susanto Rahardja

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Researcher 1 25%
Unknown 2 50%
Readers by discipline Count As %
Computer Science 1 25%
Immunology and Microbiology 1 25%
Unknown 2 50%
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 25 November 2023.
All research outputs
#16,359,580
of 24,874,764 outputs
Outputs from BMC Bioinformatics
#5,263
of 7,600 outputs
Outputs of similar age
#234,092
of 435,333 outputs
Outputs of similar age from BMC Bioinformatics
#125
of 171 outputs
Altmetric has tracked 24,874,764 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,600 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 26th percentile – i.e., 26% 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 435,333 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 171 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.