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ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context

Overview of attention for article published in BMC Bioinformatics, March 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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
4 tweeters
patent
2 patents
wikipedia
2 Wikipedia pages
f1000
1 research highlight platform

Citations

dimensions_citation
1945 Dimensions

Readers on

mendeley
1711 Mendeley
citeulike
54 CiteULike
connotea
4 Connotea
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Title
ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context
Published in
BMC Bioinformatics, March 2006
DOI 10.1186/1471-2105-7-s1-s7
Pubmed ID
Authors

Adam A Margolin, Ilya Nemenman, Katia Basso, Chris Wiggins, Gustavo Stolovitzky, Riccardo Dalla Favera, Andrea Califano

Twitter Demographics

The data shown below were collected from the profiles of 4 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 1,711 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 59 3%
United Kingdom 17 <1%
Italy 11 <1%
Germany 7 <1%
Sweden 6 <1%
France 5 <1%
Luxembourg 4 <1%
Netherlands 4 <1%
Switzerland 3 <1%
Other 36 2%
Unknown 1559 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 503 29%
Researcher 367 21%
Student > Master 184 11%
Student > Bachelor 129 8%
Professor > Associate Professor 96 6%
Other 262 15%
Unknown 170 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 599 35%
Biochemistry, Genetics and Molecular Biology 322 19%
Computer Science 241 14%
Engineering 79 5%
Medicine and Dentistry 62 4%
Other 200 12%
Unknown 208 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 24 April 2020.
All research outputs
#1,833,308
of 18,846,954 outputs
Outputs from BMC Bioinformatics
#580
of 6,447 outputs
Outputs of similar age
#48,949
of 323,443 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 27 outputs
Altmetric has tracked 18,846,954 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 6,447 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. 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 323,443 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 84% of its contemporaries.
We're also able to compare this research output to 27 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 99% of its contemporaries.