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Integrative bioinformatics analysis of transcriptional regulatory programs in breast cancer cells

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

patent
2 patents

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
39 Mendeley
citeulike
6 CiteULike
connotea
1 Connotea
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Title
Integrative bioinformatics analysis of transcriptional regulatory programs in breast cancer cells
Published in
BMC Bioinformatics, September 2008
DOI 10.1186/1471-2105-9-404
Pubmed ID
Authors

Atsushi Niida, Andrew D Smith, Seiya Imoto, Shuichi Tsutsumi, Hiroyuki Aburatani, Michael Q Zhang, Tetsu Akiyama

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 8%
Portugal 1 3%
United Kingdom 1 3%
Sweden 1 3%
Korea, Republic of 1 3%
Canada 1 3%
Unknown 31 79%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 31%
Student > Ph. D. Student 11 28%
Professor 4 10%
Professor > Associate Professor 4 10%
Other 3 8%
Other 4 10%
Unknown 1 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 44%
Biochemistry, Genetics and Molecular Biology 6 15%
Computer Science 6 15%
Medicine and Dentistry 3 8%
Mathematics 2 5%
Other 3 8%
Unknown 2 5%
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 31 May 2017.
All research outputs
#7,550,194
of 23,033,713 outputs
Outputs from BMC Bioinformatics
#3,042
of 7,318 outputs
Outputs of similar age
#32,030
of 89,425 outputs
Outputs of similar age from BMC Bioinformatics
#14
of 35 outputs
Altmetric has tracked 23,033,713 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 7,318 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 89,425 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 35 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.