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BioReader: a text mining tool for performing classification of biomedical literature

Overview of attention for article published in BMC Bioinformatics, February 2019
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
1 blog
twitter
10 tweeters

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
96 Mendeley
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Title
BioReader: a text mining tool for performing classification of biomedical literature
Published in
BMC Bioinformatics, February 2019
DOI 10.1186/s12859-019-2607-x
Pubmed ID
Authors

Christian Simon, Kristian Davidsen, Christina Hansen, Emily Seymour, Mike Bogetofte Barnkob, Lars Rønn Olsen

Twitter Demographics

The data shown below were collected from the profiles of 10 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 96 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 18%
Student > Ph. D. Student 14 15%
Researcher 13 14%
Student > Bachelor 5 5%
Student > Doctoral Student 5 5%
Other 19 20%
Unknown 23 24%
Readers by discipline Count As %
Computer Science 20 21%
Agricultural and Biological Sciences 14 15%
Biochemistry, Genetics and Molecular Biology 8 8%
Medicine and Dentistry 8 8%
Engineering 6 6%
Other 12 13%
Unknown 28 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 17 September 2019.
All research outputs
#1,253,692
of 15,857,043 outputs
Outputs from BMC Bioinformatics
#360
of 5,727 outputs
Outputs of similar age
#39,917
of 337,905 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 41 outputs
Altmetric has tracked 15,857,043 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,727 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 93% 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 337,905 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 88% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.