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SNAVI: Desktop application for analysis and visualization of large-scale signaling networks

Overview of attention for article published in BMC Systems Biology, January 2009
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Mentioned by

patent
1 patent

Readers on

mendeley
59 Mendeley
citeulike
6 CiteULike
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Title
SNAVI: Desktop application for analysis and visualization of large-scale signaling networks
Published in
BMC Systems Biology, January 2009
DOI 10.1186/1752-0509-3-10
Pubmed ID
Authors

Avi Ma'ayan, Sherry L Jenkins, Ryan L Webb, Seth I Berger, Sudarshan P Purushothaman, Noura S Abul-Husn, Jeremy M Posner, Tony Flores, Ravi Iyengar

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Argentina 2 3%
Germany 1 2%
United Kingdom 1 2%
Austria 1 2%
India 1 2%
Slovenia 1 2%
Unknown 50 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 27%
Researcher 14 24%
Other 8 14%
Professor > Associate Professor 5 8%
Student > Master 5 8%
Other 7 12%
Unknown 4 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 54%
Computer Science 10 17%
Medicine and Dentistry 4 7%
Biochemistry, Genetics and Molecular Biology 3 5%
Environmental Science 1 2%
Other 2 3%
Unknown 7 12%
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 08 November 2012.
All research outputs
#7,551,483
of 23,036,991 outputs
Outputs from BMC Systems Biology
#314
of 1,144 outputs
Outputs of similar age
#49,859
of 171,395 outputs
Outputs of similar age from BMC Systems Biology
#4
of 15 outputs
Altmetric has tracked 23,036,991 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 1,144 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 64% 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 171,395 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.