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Combining MEDLINE and publisher data to create parallel corpora for the automatic translation of biomedical text

Overview of attention for article published in BMC Bioinformatics, April 2013
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user
peer_reviews
1 peer review site

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
33 Mendeley
citeulike
1 CiteULike
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Title
Combining MEDLINE and publisher data to create parallel corpora for the automatic translation of biomedical text
Published in
BMC Bioinformatics, April 2013
DOI 10.1186/1471-2105-14-146
Pubmed ID
Authors

Antonio Jimeno Yepes, Élise Prieur-Gaston, Aurélie Névéol

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 2 6%
Netherlands 1 3%
Unknown 30 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 27%
Student > Ph. D. Student 6 18%
Student > Master 5 15%
Other 2 6%
Professor > Associate Professor 2 6%
Other 5 15%
Unknown 4 12%
Readers by discipline Count As %
Computer Science 14 42%
Linguistics 4 12%
Agricultural and Biological Sciences 4 12%
Biochemistry, Genetics and Molecular Biology 2 6%
Medicine and Dentistry 2 6%
Other 3 9%
Unknown 4 12%
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 02 December 2016.
All research outputs
#14,871,791
of 22,903,988 outputs
Outputs from BMC Bioinformatics
#5,063
of 7,305 outputs
Outputs of similar age
#114,645
of 192,599 outputs
Outputs of similar age from BMC Bioinformatics
#90
of 122 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,305 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 192,599 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.