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Computational study of noise in a large signal transduction network

Overview of attention for article published in BMC Bioinformatics, June 2011
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
75 Mendeley
citeulike
3 CiteULike
connotea
1 Connotea
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Title
Computational study of noise in a large signal transduction network
Published in
BMC Bioinformatics, June 2011
DOI 10.1186/1471-2105-12-252
Pubmed ID
Authors

Jukka Intosalmi, Tiina Manninen, Keijo Ruohonen, Marja-Leena Linne

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 1%
Chile 1 1%
Canada 1 1%
Brazil 1 1%
Unknown 71 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 25%
Researcher 17 23%
Student > Master 9 12%
Student > Bachelor 6 8%
Student > Doctoral Student 5 7%
Other 14 19%
Unknown 5 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 56%
Biochemistry, Genetics and Molecular Biology 14 19%
Computer Science 3 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Medicine and Dentistry 2 3%
Other 6 8%
Unknown 6 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 23 June 2011.
All research outputs
#15,369,584
of 17,389,828 outputs
Outputs from BMC Bioinformatics
#5,737
of 6,153 outputs
Outputs of similar age
#153,828
of 188,988 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 2 outputs
Altmetric has tracked 17,389,828 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,153 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 188,988 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.