↓ Skip to main content

The PathOlogist: an automated tool for pathway-centric analysis

Overview of attention for article published in BMC Bioinformatics, May 2011
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)

Mentioned by

twitter
1 tweeter
patent
1 patent

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
101 Mendeley
citeulike
9 CiteULike
connotea
1 Connotea
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The PathOlogist: an automated tool for pathway-centric analysis
Published in
BMC Bioinformatics, May 2011
DOI 10.1186/1471-2105-12-133
Pubmed ID
Authors

Sharon I Greenblum, Sol Efroni, Carl F Schaefer, Ken H Buetow

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 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 2%
United States 2 2%
Belgium 2 2%
Mexico 1 <1%
United Kingdom 1 <1%
Denmark 1 <1%
Russia 1 <1%
India 1 <1%
Spain 1 <1%
Other 0 0%
Unknown 89 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 30%
Researcher 25 25%
Student > Master 11 11%
Professor > Associate Professor 7 7%
Student > Bachelor 6 6%
Other 17 17%
Unknown 5 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 42%
Computer Science 15 15%
Biochemistry, Genetics and Molecular Biology 13 13%
Medicine and Dentistry 11 11%
Mathematics 3 3%
Other 8 8%
Unknown 9 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 20 February 2014.
All research outputs
#5,243,520
of 17,389,828 outputs
Outputs from BMC Bioinformatics
#2,221
of 6,152 outputs
Outputs of similar age
#68,357
of 189,631 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 has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 6,152 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 62% 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 189,631 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 63% of its contemporaries.
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.