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PathNet: a tool for pathway analysis using topological information

Overview of attention for article published in Source Code for Biology and Medicine, September 2012
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Mentioned by

twitter
2 X users

Citations

dimensions_citation
67 Dimensions

Readers on

mendeley
82 Mendeley
citeulike
1 CiteULike
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Title
PathNet: a tool for pathway analysis using topological information
Published in
Source Code for Biology and Medicine, September 2012
DOI 10.1186/1751-0473-7-10
Pubmed ID
Authors

Bhaskar Dutta, Anders Wallqvist, Jaques Reifman

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 2 2%
Unknown 80 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 27%
Researcher 22 27%
Student > Master 11 13%
Student > Doctoral Student 6 7%
Student > Bachelor 4 5%
Other 7 9%
Unknown 10 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 28%
Computer Science 19 23%
Biochemistry, Genetics and Molecular Biology 14 17%
Mathematics 3 4%
Engineering 2 2%
Other 7 9%
Unknown 14 17%
Attention Score in Context

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 16 January 2013.
All research outputs
#15,251,976
of 22,679,690 outputs
Outputs from Source Code for Biology and Medicine
#85
of 127 outputs
Outputs of similar age
#107,681
of 171,470 outputs
Outputs of similar age from Source Code for Biology and Medicine
#1
of 2 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 127 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 25th percentile – i.e., 25% 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 171,470 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% 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. This one has scored higher than all of them