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Transcriptional regulatory network refinement and quantification through kinetic modeling, gene expression microarray data and information theory

Overview of attention for article published in BMC Bioinformatics, January 2007
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Mentioned by

patent
1 patent

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
63 Mendeley
citeulike
5 CiteULike
connotea
4 Connotea
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Title
Transcriptional regulatory network refinement and quantification through kinetic modeling, gene expression microarray data and information theory
Published in
BMC Bioinformatics, January 2007
DOI 10.1186/1471-2105-8-20
Pubmed ID
Authors

Abdallah Sayyed-Ahmad, Kagan Tuncay, Peter J Ortoleva

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 5 8%
Indonesia 1 2%
Italy 1 2%
Turkey 1 2%
Mexico 1 2%
Israel 1 2%
Japan 1 2%
China 1 2%
Unknown 51 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 35%
Professor > Associate Professor 11 17%
Student > Ph. D. Student 8 13%
Professor 5 8%
Other 4 6%
Other 10 16%
Unknown 3 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 46%
Computer Science 11 17%
Biochemistry, Genetics and Molecular Biology 8 13%
Engineering 4 6%
Physics and Astronomy 2 3%
Other 2 3%
Unknown 7 11%
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 2021.
All research outputs
#7,656,056
of 23,308,124 outputs
Outputs from BMC Bioinformatics
#3,074
of 7,380 outputs
Outputs of similar age
#44,625
of 163,057 outputs
Outputs of similar age from BMC Bioinformatics
#23
of 52 outputs
Altmetric has tracked 23,308,124 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 7,380 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 163,057 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 52 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.