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X Demographics
Mendeley readers
Attention Score in Context
Title |
RCytoscape: tools for exploratory network analysis
|
---|---|
Published in |
BMC Bioinformatics, July 2013
|
DOI | 10.1186/1471-2105-14-217 |
Pubmed ID | |
Authors |
Paul T Shannon, Mark Grimes, Burak Kutlu, Jan J Bot, David J Galas |
Abstract |
Biomolecular pathways and networks are dynamic and complex, and the perturbations to them which cause disease are often multiple, heterogeneous and contingent. Pathway and network visualizations, rendered on a computer or published on paper, however, tend to be static, lacking in detail, and ill-equipped to explore the variety and quantities of data available today, and the complex causes we seek to understand. |
X Demographics
The data shown below were collected from the profiles of 28 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 9 | 32% |
Japan | 3 | 11% |
Germany | 2 | 7% |
United Kingdom | 1 | 4% |
France | 1 | 4% |
India | 1 | 4% |
Netherlands | 1 | 4% |
Unknown | 10 | 36% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 14 | 50% |
Members of the public | 14 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 4 | 3% |
Brazil | 4 | 3% |
United States | 3 | 2% |
United Kingdom | 3 | 2% |
Denmark | 2 | 1% |
Australia | 1 | <1% |
Switzerland | 1 | <1% |
France | 1 | <1% |
Russia | 1 | <1% |
Other | 1 | <1% |
Unknown | 131 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 56 | 37% |
Student > Ph. D. Student | 34 | 22% |
Student > Master | 15 | 10% |
Other | 10 | 7% |
Professor > Associate Professor | 7 | 5% |
Other | 20 | 13% |
Unknown | 10 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 69 | 45% |
Biochemistry, Genetics and Molecular Biology | 32 | 21% |
Computer Science | 13 | 9% |
Medicine and Dentistry | 8 | 5% |
Engineering | 2 | 1% |
Other | 13 | 9% |
Unknown | 15 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 40. 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 25 March 2020.
All research outputs
#957,690
of 24,336,902 outputs
Outputs from BMC Bioinformatics
#75
of 7,517 outputs
Outputs of similar age
#7,850
of 198,495 outputs
Outputs of similar age from BMC Bioinformatics
#4
of 95 outputs
Altmetric has tracked 24,336,902 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,517 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 99% 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 198,495 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.