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Combing the hairball with BioFabric: a new approach for visualization of large networks

Overview of attention for article published in BMC Bioinformatics, October 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

twitter
13 tweeters
wikipedia
4 Wikipedia pages
googleplus
1 Google+ user

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
103 Mendeley
citeulike
7 CiteULike
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Title
Combing the hairball with BioFabric: a new approach for visualization of large networks
Published in
BMC Bioinformatics, October 2012
DOI 10.1186/1471-2105-13-275
Pubmed ID
Authors

William JR Longabaugh

Abstract

The analysis of large, complex networks is an important aspect of ongoing biological research. Yet there is a need for entirely new, scalable approaches for network visualization that can provide more insight into the structure and function of these complex networks.

Twitter Demographics

The data shown below were collected from the profiles of 13 tweeters 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 10%
Brazil 3 3%
Sweden 2 2%
Canada 2 2%
Spain 2 2%
Netherlands 1 <1%
Unknown 83 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 43 42%
Student > Ph. D. Student 17 17%
Student > Master 12 12%
Professor > Associate Professor 6 6%
Professor 5 5%
Other 15 15%
Unknown 5 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 34%
Computer Science 26 25%
Biochemistry, Genetics and Molecular Biology 10 10%
Environmental Science 4 4%
Engineering 3 3%
Other 15 15%
Unknown 10 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 23 April 2021.
All research outputs
#2,025,218
of 20,945,747 outputs
Outputs from BMC Bioinformatics
#619
of 6,855 outputs
Outputs of similar age
#15,542
of 175,847 outputs
Outputs of similar age from BMC Bioinformatics
#31
of 347 outputs
Altmetric has tracked 20,945,747 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,855 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 90% 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 175,847 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 91% of its contemporaries.
We're also able to compare this research output to 347 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 91% of its contemporaries.