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Fast network centrality analysis using GPUs

Overview of attention for article published in BMC Bioinformatics, May 2011
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
88 Dimensions

Readers on

mendeley
60 Mendeley
citeulike
2 CiteULike
connotea
1 Connotea
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Title
Fast network centrality analysis using GPUs
Published in
BMC Bioinformatics, May 2011
DOI 10.1186/1471-2105-12-149
Pubmed ID
Authors

Zhiao Shi, Bing Zhang

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

Geographical breakdown

Country Count As %
United States 3 5%
India 3 5%
Spain 2 3%
Brazil 1 2%
France 1 2%
Sweden 1 2%
United Kingdom 1 2%
Unknown 48 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 32%
Student > Master 11 18%
Student > Ph. D. Student 11 18%
Professor 6 10%
Professor > Associate Professor 5 8%
Other 8 13%
Readers by discipline Count As %
Computer Science 24 40%
Agricultural and Biological Sciences 20 33%
Engineering 5 8%
Biochemistry, Genetics and Molecular Biology 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 5 8%
Unknown 3 5%

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 21 November 2017.
All research outputs
#7,607,348
of 12,172,179 outputs
Outputs from BMC Bioinformatics
#3,077
of 4,429 outputs
Outputs of similar age
#187,152
of 336,362 outputs
Outputs of similar age from BMC Bioinformatics
#115
of 201 outputs
Altmetric has tracked 12,172,179 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,429 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 21st percentile – i.e., 21% 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 336,362 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 201 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.