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Extract interaction detection methods from the biological literature

Overview of attention for article published in BMC Bioinformatics, January 2009
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About this Attention Score

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

Mentioned by

patent
1 patent

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
12 Mendeley
citeulike
2 CiteULike
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Title
Extract interaction detection methods from the biological literature
Published in
BMC Bioinformatics, January 2009
DOI 10.1186/1471-2105-10-s1-s55
Pubmed ID
Authors

Hongning Wang, Minlie Huang, Xiaoyan Zhu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 17%
Spain 1 8%
United Kingdom 1 8%
Unknown 8 67%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 33%
Student > Bachelor 2 17%
Student > Master 2 17%
Student > Ph. D. Student 1 8%
Professor 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Computer Science 5 42%
Agricultural and Biological Sciences 2 17%
Business, Management and Accounting 2 17%
Decision Sciences 1 8%
Engineering 1 8%
Other 0 0%
Unknown 1 8%
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 17 February 2022.
All research outputs
#8,131,398
of 24,387,992 outputs
Outputs from BMC Bioinformatics
#3,135
of 7,527 outputs
Outputs of similar age
#52,355
of 179,253 outputs
Outputs of similar age from BMC Bioinformatics
#24
of 57 outputs
Altmetric has tracked 24,387,992 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 7,527 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 179,253 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.