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Integrative inference of gene-regulatory networks in Escherichia coli using information theoretic concepts and sequence analysis

Overview of attention for article published in BMC Systems Biology, August 2010
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
65 Mendeley
citeulike
2 CiteULike
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Title
Integrative inference of gene-regulatory networks in Escherichia coli using information theoretic concepts and sequence analysis
Published in
BMC Systems Biology, August 2010
DOI 10.1186/1752-0509-4-116
Pubmed ID
Authors

Christoph Kaleta, Anna Göhler, Stefan Schuster, Knut Jahreis, Reinhard Guthke, Swetlana Nikolajewa

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 2 3%
Brazil 2 3%
France 1 2%
Germany 1 2%
United Kingdom 1 2%
Belgium 1 2%
Unknown 57 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 29%
Researcher 16 25%
Professor > Associate Professor 6 9%
Student > Master 6 9%
Professor 3 5%
Other 10 15%
Unknown 5 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 45%
Computer Science 10 15%
Biochemistry, Genetics and Molecular Biology 8 12%
Engineering 5 8%
Mathematics 3 5%
Other 4 6%
Unknown 6 9%
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 20 November 2010.
All research outputs
#7,656,930
of 23,310,485 outputs
Outputs from BMC Systems Biology
#314
of 1,143 outputs
Outputs of similar age
#34,321
of 95,885 outputs
Outputs of similar age from BMC Systems Biology
#5
of 14 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 1,143 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 63% 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 95,885 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 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.