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TranscriptomeBrowser 3.0: introducing a new compendium of molecular interactions and a new visualization tool for the study of gene regulatory networks

Overview of attention for article published in BMC Bioinformatics, January 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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
1 blog
twitter
6 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
107 Mendeley
citeulike
9 CiteULike
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Title
TranscriptomeBrowser 3.0: introducing a new compendium of molecular interactions and a new visualization tool for the study of gene regulatory networks
Published in
BMC Bioinformatics, January 2012
DOI 10.1186/1471-2105-13-19
Pubmed ID
Authors

Cyrille Lepoivre, Aurélie Bergon, Fabrice Lopez, Narayanan B Perumal, Catherine Nguyen, Jean Imbert, Denis Puthier

Abstract

Deciphering gene regulatory networks by in silico approaches is a crucial step in the study of the molecular perturbations that occur in diseases. The development of regulatory maps is a tedious process requiring the comprehensive integration of various evidences scattered over biological databases. Thus, the research community would greatly benefit from having a unified database storing known and predicted molecular interactions. Furthermore, given the intrinsic complexity of the data, the development of new tools offering integrated and meaningful visualizations of molecular interactions is necessary to help users drawing new hypotheses without being overwhelmed by the density of the subsequent graph.

Twitter Demographics

The data shown below were collected from the profiles of 6 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 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 5%
Germany 3 3%
France 1 <1%
Norway 1 <1%
Malaysia 1 <1%
Sweden 1 <1%
United Kingdom 1 <1%
Denmark 1 <1%
Brazil 1 <1%
Other 0 0%
Unknown 92 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 43 40%
Student > Ph. D. Student 19 18%
Student > Master 13 12%
Professor 7 7%
Student > Postgraduate 6 6%
Other 16 15%
Unknown 3 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 55%
Biochemistry, Genetics and Molecular Biology 17 16%
Computer Science 12 11%
Medicine and Dentistry 7 7%
Engineering 2 2%
Other 4 4%
Unknown 6 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 28 March 2018.
All research outputs
#2,070,306
of 17,360,236 outputs
Outputs from BMC Bioinformatics
#779
of 6,151 outputs
Outputs of similar age
#22,710
of 224,288 outputs
Outputs of similar age from BMC Bioinformatics
#21
of 170 outputs
Altmetric has tracked 17,360,236 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,151 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 87% 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 224,288 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 89% of its contemporaries.
We're also able to compare this research output to 170 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.