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Next generation community assessment of biomedical entity recognition web servers: metrics, performance, interoperability aspects of BeCalm

Overview of attention for article published in Journal of Cheminformatics, June 2019
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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 (75th percentile)

Mentioned by

twitter
14 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
25 Mendeley
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Title
Next generation community assessment of biomedical entity recognition web servers: metrics, performance, interoperability aspects of BeCalm
Published in
Journal of Cheminformatics, June 2019
DOI 10.1186/s13321-019-0363-6
Pubmed ID
Authors

Martin Pérez-Pérez, Gael Pérez-Rodríguez, Aitor Blanco-Míguez, Florentino Fdez-Riverola, Alfonso Valencia, Martin Krallinger, Anália Lourenço

Twitter Demographics

The data shown below were collected from the profiles of 14 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 20%
Student > Doctoral Student 4 16%
Researcher 3 12%
Student > Bachelor 2 8%
Professor 2 8%
Other 4 16%
Unknown 5 20%
Readers by discipline Count As %
Computer Science 8 32%
Medicine and Dentistry 2 8%
Biochemistry, Genetics and Molecular Biology 2 8%
Agricultural and Biological Sciences 2 8%
Arts and Humanities 1 4%
Other 5 20%
Unknown 5 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 08 November 2021.
All research outputs
#3,422,829
of 19,404,461 outputs
Outputs from Journal of Cheminformatics
#354
of 733 outputs
Outputs of similar age
#68,132
of 277,448 outputs
Outputs of similar age from Journal of Cheminformatics
#1
of 1 outputs
Altmetric has tracked 19,404,461 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 733 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 51% 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 277,448 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 75% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them