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IntNetDB v1.0: an integrated protein-protein interaction network database generated by a probabilistic model

Overview of attention for article published in BMC Bioinformatics, November 2006
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
67 Dimensions

Readers on

mendeley
95 Mendeley
citeulike
6 CiteULike
connotea
5 Connotea
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Title
IntNetDB v1.0: an integrated protein-protein interaction network database generated by a probabilistic model
Published in
BMC Bioinformatics, November 2006
DOI 10.1186/1471-2105-7-508
Pubmed ID
Authors

Kai Xia, Dong Dong, Jing-Dong J Han

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 4%
United States 3 3%
Colombia 2 2%
Germany 2 2%
Brazil 2 2%
France 1 1%
Italy 1 1%
Australia 1 1%
Korea, Republic of 1 1%
Other 4 4%
Unknown 74 78%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 29%
Student > Ph. D. Student 18 19%
Professor > Associate Professor 11 12%
Other 7 7%
Professor 6 6%
Other 22 23%
Unknown 3 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 45%
Biochemistry, Genetics and Molecular Biology 14 15%
Computer Science 10 11%
Medicine and Dentistry 8 8%
Engineering 3 3%
Other 10 11%
Unknown 7 7%
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 01 April 2017.
All research outputs
#7,656,930
of 23,310,485 outputs
Outputs from BMC Bioinformatics
#3,075
of 7,383 outputs
Outputs of similar age
#41,876
of 156,061 outputs
Outputs of similar age from BMC Bioinformatics
#14
of 58 outputs
Altmetric has tracked 23,310,485 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 7,383 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 156,061 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.