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Combining active learning and semi-supervised learning techniques to extract protein interaction sentences

Overview of attention for article published in BMC Bioinformatics, November 2011
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
47 Mendeley
citeulike
1 CiteULike
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Title
Combining active learning and semi-supervised learning techniques to extract protein interaction sentences
Published in
BMC Bioinformatics, November 2011
DOI 10.1186/1471-2105-12-s12-s4
Pubmed ID
Authors

Min Song, Hwanjo Yu, Wook-Shin Han

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 2 4%
United Kingdom 1 2%
United States 1 2%
Brazil 1 2%
Unknown 42 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 28%
Student > Master 11 23%
Student > Doctoral Student 6 13%
Researcher 4 9%
Student > Postgraduate 2 4%
Other 3 6%
Unknown 8 17%
Readers by discipline Count As %
Computer Science 23 49%
Social Sciences 3 6%
Medicine and Dentistry 3 6%
Agricultural and Biological Sciences 3 6%
Mathematics 2 4%
Other 3 6%
Unknown 10 21%
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 27 June 2023.
All research outputs
#7,974,044
of 23,989,432 outputs
Outputs from BMC Bioinformatics
#3,107
of 7,491 outputs
Outputs of similar age
#71,818
of 246,160 outputs
Outputs of similar age from BMC Bioinformatics
#55
of 110 outputs
Altmetric has tracked 23,989,432 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 7,491 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 246,160 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 110 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.