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A classification-based framework for predicting and analyzing gene regulatory response

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

patent
1 patent

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
39 Mendeley
citeulike
1 CiteULike
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Title
A classification-based framework for predicting and analyzing gene regulatory response
Published in
BMC Bioinformatics, March 2006
DOI 10.1186/1471-2105-7-s1-s5
Pubmed ID
Authors

Anshul Kundaje, Manuel Middendorf, Mihir Shah, Chris H Wiggins, Yoav Freund, Christina Leslie

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 4 10%
Unknown 35 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 33%
Researcher 10 26%
Professor > Associate Professor 4 10%
Student > Doctoral Student 3 8%
Student > Master 2 5%
Other 5 13%
Unknown 2 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 51%
Computer Science 8 21%
Mathematics 3 8%
Biochemistry, Genetics and Molecular Biology 2 5%
Psychology 1 3%
Other 2 5%
Unknown 3 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 07 November 2019.
All research outputs
#7,610,760
of 23,205,257 outputs
Outputs from BMC Bioinformatics
#3,058
of 7,354 outputs
Outputs of similar age
#23,666
of 67,271 outputs
Outputs of similar age from BMC Bioinformatics
#26
of 58 outputs
Altmetric has tracked 23,205,257 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 7,354 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 67,271 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% 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 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.