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A methodology for the structural and functional analysis of signaling and regulatory networks

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

patent
1 patent

Citations

dimensions_citation
337 Dimensions

Readers on

mendeley
325 Mendeley
citeulike
17 CiteULike
connotea
1 Connotea
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Title
A methodology for the structural and functional analysis of signaling and regulatory networks
Published in
BMC Bioinformatics, February 2006
DOI 10.1186/1471-2105-7-56
Pubmed ID
Authors

Steffen Klamt, Julio Saez-Rodriguez, Jonathan A Lindquist, Luca Simeoni, Ernst D Gilles

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 325 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 14 4%
United States 8 2%
United Kingdom 5 2%
Portugal 2 <1%
Russia 2 <1%
Spain 2 <1%
France 2 <1%
Austria 1 <1%
Latvia 1 <1%
Other 11 3%
Unknown 277 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 96 30%
Researcher 73 22%
Student > Master 40 12%
Professor > Associate Professor 22 7%
Student > Bachelor 18 6%
Other 51 16%
Unknown 25 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 141 43%
Computer Science 43 13%
Engineering 25 8%
Biochemistry, Genetics and Molecular Biology 24 7%
Mathematics 16 5%
Other 42 13%
Unknown 34 10%
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 26 May 2016.
All research outputs
#7,576,904
of 23,106,390 outputs
Outputs from BMC Bioinformatics
#3,050
of 7,330 outputs
Outputs of similar age
#41,145
of 156,000 outputs
Outputs of similar age from BMC Bioinformatics
#24
of 56 outputs
Altmetric has tracked 23,106,390 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 7,330 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 156,000 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.