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Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT

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

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
11 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
36 Mendeley
Summary Twitter Dimensions citations
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Title
Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT
Published in
BMC Bioinformatics, April 2022
DOI 10.1186/s12859-022-04688-w
Pubmed ID
35448946
Authors

Usman Naseem, Adam G. Dunn, Matloob Khushi, Jinman Kim

View on publisher site

Twitter Demographics

The data shown below were collected from the profiles of 11 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 17%
Researcher 5 14%
Student > Doctoral Student 4 11%
Other 3 8%
Lecturer > Senior Lecturer 1 3%
Other 4 11%
Unknown 13 36%
Readers by discipline Count As %
Computer Science 11 31%
Biochemistry, Genetics and Molecular Biology 2 6%
Agricultural and Biological Sciences 2 6%
Mathematics 1 3%
Unspecified 1 3%
Other 2 6%
Unknown 17 47%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 23 April 2022.
All research outputs
#5,817,606
of 23,410,748 outputs
Outputs from BMC Bioinformatics
#2,107
of 7,381 outputs
Outputs of similar age
#115,621
of 441,922 outputs
Outputs of similar age from BMC Bioinformatics
#24
of 131 outputs
Altmetric has tracked 23,410,748 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,381 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 71% 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 441,922 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 73% of its contemporaries.
We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.

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