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Integrating protein-protein interactions and text mining for protein function prediction

Overview of attention for article published in BMC Bioinformatics, July 2008
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
63 Mendeley
citeulike
10 CiteULike
connotea
2 Connotea
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Title
Integrating protein-protein interactions and text mining for protein function prediction
Published in
BMC Bioinformatics, July 2008
DOI 10.1186/1471-2105-9-s8-s2
Pubmed ID
Authors

Samira Jaeger, Sylvain Gaudan, Ulf Leser, Dietrich Rebholz-Schuhmann

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 6%
Spain 2 3%
Germany 1 2%
United Kingdom 1 2%
Netherlands 1 2%
France 1 2%
Canada 1 2%
Unknown 52 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 24%
Researcher 12 19%
Student > Master 12 19%
Other 4 6%
Student > Bachelor 4 6%
Other 8 13%
Unknown 8 13%
Readers by discipline Count As %
Computer Science 22 35%
Agricultural and Biological Sciences 16 25%
Biochemistry, Genetics and Molecular Biology 6 10%
Medicine and Dentistry 3 5%
Chemistry 2 3%
Other 5 8%
Unknown 9 14%
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 13 March 2015.
All research outputs
#7,462,180
of 22,813,792 outputs
Outputs from BMC Bioinformatics
#3,024
of 7,284 outputs
Outputs of similar age
#28,853
of 81,965 outputs
Outputs of similar age from BMC Bioinformatics
#12
of 29 outputs
Altmetric has tracked 22,813,792 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 7,284 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 81,965 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 29 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.