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Integration of interactive, multi-scale network navigation approach with Cytoscape for functional genomics in the big data era

Overview of attention for article published in BMC Genomics, January 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
8 tweeters

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
52 Mendeley
citeulike
1 CiteULike
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Title
Integration of interactive, multi-scale network navigation approach with Cytoscape for functional genomics in the big data era
Published in
BMC Genomics, January 2012
DOI 10.1186/1471-2164-13-s7-s24
Pubmed ID
Authors

Thanet Praneenararat, Toshihisa Takagi, Wataru Iwasaki

Abstract

The overwhelming amount of network data in functional genomics is making its visualization cluttered with jumbling nodes and edges. Such cluttered network visualization, which is known as "hair-balls", is significantly hindering data interpretation and analysis of researchers. Effective navigation approaches that can always abstract network data properly and present them insightfully are hence required, to help researchers interpret the data and acquire knowledge efficiently. Cytoscape is a de facto standard platform for network visualization and analysis, which has many users around the world. Apart from its core sophisticated features, it easily allows for extension of the functionalities by loading extra plug-ins.

Twitter Demographics

The data shown below were collected from the profiles of 8 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 2%
Sweden 1 2%
United Kingdom 1 2%
Spain 1 2%
Japan 1 2%
Greece 1 2%
Luxembourg 1 2%
Unknown 45 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 37%
Student > Ph. D. Student 8 15%
Student > Master 8 15%
Professor > Associate Professor 3 6%
Lecturer 3 6%
Other 8 15%
Unknown 3 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 37%
Computer Science 10 19%
Biochemistry, Genetics and Molecular Biology 6 12%
Medicine and Dentistry 4 8%
Social Sciences 2 4%
Other 7 13%
Unknown 4 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 18 December 2012.
All research outputs
#2,148,854
of 10,466,850 outputs
Outputs from BMC Genomics
#1,366
of 6,712 outputs
Outputs of similar age
#65,049
of 297,392 outputs
Outputs of similar age from BMC Genomics
#44
of 222 outputs
Altmetric has tracked 10,466,850 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,712 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 79% 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 297,392 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 222 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.