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Exploration of biological network centralities with CentiBiN

Overview of attention for article published in BMC Bioinformatics, April 2006
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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
152 Dimensions

Readers on

mendeley
111 Mendeley
citeulike
4 CiteULike
connotea
1 Connotea
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Title
Exploration of biological network centralities with CentiBiN
Published in
BMC Bioinformatics, April 2006
DOI 10.1186/1471-2105-7-219
Pubmed ID
Authors

Björn H Junker, Dirk Koschützki, Falk Schreiber

Abstract

The elucidation of whole-cell regulatory, metabolic, interaction and other biological networks generates the need for a meaningful ranking of network elements. Centrality analysis ranks network elements according to their importance within the network structure and different centrality measures focus on different importance concepts. Central elements of biological networks have been found to be, for example, essential for viability.

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 3%
Germany 2 2%
Brazil 2 2%
United States 2 2%
France 1 <1%
Malaysia 1 <1%
India 1 <1%
Colombia 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 96 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 23%
Student > Ph. D. Student 21 19%
Student > Master 14 13%
Student > Doctoral Student 10 9%
Student > Bachelor 9 8%
Other 25 23%
Unknown 7 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 39%
Computer Science 20 18%
Biochemistry, Genetics and Molecular Biology 8 7%
Mathematics 7 6%
Chemistry 5 5%
Other 14 13%
Unknown 14 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 January 2015.
All research outputs
#686,601
of 4,758,711 outputs
Outputs from BMC Bioinformatics
#549
of 2,744 outputs
Outputs of similar age
#30,586
of 159,255 outputs
Outputs of similar age from BMC Bioinformatics
#28
of 141 outputs
Altmetric has tracked 4,758,711 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,744 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 80% 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 159,255 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 80% of its contemporaries.
We're also able to compare this research output to 141 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.