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Inferring the conservative causal core of gene regulatory networks

Overview of attention for article published in BMC Systems Biology, September 2010
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
163 Dimensions

Readers on

mendeley
171 Mendeley
citeulike
3 CiteULike
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Title
Inferring the conservative causal core of gene regulatory networks
Published in
BMC Systems Biology, September 2010
DOI 10.1186/1752-0509-4-132
Pubmed ID
Authors

Gökmen Altay, Frank Emmert-Streib

Abstract

Inferring gene regulatory networks from large-scale expression data is an important problem that received much attention in recent years. These networks have the potential to gain insights into causal molecular interactions of biological processes. Hence, from a methodological point of view, reliable estimation methods based on observational data are needed to approach this problem practically.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 4%
Italy 1 <1%
Hong Kong 1 <1%
France 1 <1%
India 1 <1%
Sweden 1 <1%
China 1 <1%
Mexico 1 <1%
Unknown 158 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 26%
Researcher 43 25%
Student > Master 21 12%
Student > Doctoral Student 12 7%
Professor > Associate Professor 9 5%
Other 22 13%
Unknown 19 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 65 38%
Computer Science 30 18%
Biochemistry, Genetics and Molecular Biology 27 16%
Engineering 6 4%
Mathematics 5 3%
Other 12 7%
Unknown 26 15%
Attention Score in Context

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 08 October 2014.
All research outputs
#5,868,970
of 22,766,595 outputs
Outputs from BMC Systems Biology
#195
of 1,142 outputs
Outputs of similar age
#29,127
of 98,650 outputs
Outputs of similar age from BMC Systems Biology
#2
of 14 outputs
Altmetric has tracked 22,766,595 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 82% 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 98,650 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.