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Identifying differentially regulated subnetworks from phosphoproteomic data

Overview of attention for article published in BMC Bioinformatics, June 2010
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
86 Mendeley
citeulike
5 CiteULike
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Title
Identifying differentially regulated subnetworks from phosphoproteomic data
Published in
BMC Bioinformatics, June 2010
DOI 10.1186/1471-2105-11-351
Pubmed ID
Authors

Martin Klammer, Klaus Godl, Andreas Tebbe, Christoph Schaab

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Switzerland 1 1%
Brazil 1 1%
India 1 1%
United Kingdom 1 1%
Unknown 81 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 24%
Student > Ph. D. Student 20 23%
Professor > Associate Professor 9 10%
Other 8 9%
Student > Master 6 7%
Other 12 14%
Unknown 10 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 41%
Biochemistry, Genetics and Molecular Biology 13 15%
Computer Science 9 10%
Engineering 5 6%
Mathematics 3 3%
Other 10 12%
Unknown 11 13%

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 21 February 2013.
All research outputs
#2,531,288
of 9,488,864 outputs
Outputs from BMC Bioinformatics
#1,542
of 4,015 outputs
Outputs of similar age
#34,063
of 100,510 outputs
Outputs of similar age from BMC Bioinformatics
#13
of 40 outputs
Altmetric has tracked 9,488,864 research outputs across all sources so far. This one has received more attention than most of these and is in the 58th percentile.
So far Altmetric has tracked 4,015 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 53% 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 100,510 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.