↓ Skip to main content

Gene regulatory network inference: evaluation and application to ovarian cancer allows the prioritization of drug targets

Overview of attention for article published in Genome Medicine, May 2012
Altmetric Badge

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 (88th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

blogs
1 blog
twitter
5 X users

Citations

dimensions_citation
138 Dimensions

Readers on

mendeley
250 Mendeley
citeulike
9 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Gene regulatory network inference: evaluation and application to ovarian cancer allows the prioritization of drug targets
Published in
Genome Medicine, May 2012
DOI 10.1186/gm340
Pubmed ID
Authors

Piyush B Madhamshettiwar, Stefan R Maetschke, Melissa J Davis, Antonio Reverter, Mark A Ragan

Abstract

Altered networks of gene regulation underlie many complex conditions, including cancer. Inferring gene regulatory networks from high-throughput microarray expression data is a fundamental but challenging task in computational systems biology and its translation to genomic medicine. Although diverse computational and statistical approaches have been brought to bear on the gene regulatory network inference problem, their relative strengths and disadvantages remain poorly understood, largely because comparative analyses usually consider only small subsets of methods, use only synthetic data, and/or fail to adopt a common measure of inference quality.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 250 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 2%
United States 4 2%
Brazil 3 1%
United Kingdom 1 <1%
Canada 1 <1%
Ukraine 1 <1%
China 1 <1%
Denmark 1 <1%
Unknown 234 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 66 26%
Researcher 55 22%
Student > Master 30 12%
Student > Bachelor 17 7%
Professor > Associate Professor 14 6%
Other 39 16%
Unknown 29 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 90 36%
Computer Science 51 20%
Biochemistry, Genetics and Molecular Biology 31 12%
Engineering 13 5%
Nursing and Health Professions 6 2%
Other 26 10%
Unknown 33 13%
Attention Score in Context

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 20 June 2012.
All research outputs
#3,212,541
of 25,374,917 outputs
Outputs from Genome Medicine
#714
of 1,585 outputs
Outputs of similar age
#20,273
of 175,826 outputs
Outputs of similar age from Genome Medicine
#8
of 25 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has gotten more attention than average, scoring higher than 54% 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 175,826 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 88% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.