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ProtPlat: an efficient pre-training platform for protein classification based on FastText

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

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
10 X users

Readers on

mendeley
26 Mendeley
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Title
ProtPlat: an efficient pre-training platform for protein classification based on FastText
Published in
BMC Bioinformatics, February 2022
DOI 10.1186/s12859-022-04604-2
Pubmed ID
Authors

Yuan Jin, Yang Yang

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 15%
Researcher 4 15%
Unspecified 2 8%
Professor 2 8%
Student > Ph. D. Student 1 4%
Other 1 4%
Unknown 12 46%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 19%
Agricultural and Biological Sciences 3 12%
Computer Science 3 12%
Unspecified 2 8%
Unknown 13 50%
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 02 March 2022.
All research outputs
#8,157,647
of 24,458,924 outputs
Outputs from BMC Bioinformatics
#3,137
of 7,535 outputs
Outputs of similar age
#181,631
of 517,758 outputs
Outputs of similar age from BMC Bioinformatics
#45
of 121 outputs
Altmetric has tracked 24,458,924 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 7,535 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 50% 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 517,758 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 61% of its contemporaries.
We're also able to compare this research output to 121 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.