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NetBenchmark: a bioconductor package for reproducible benchmarks of gene regulatory network inference

Overview of attention for article published in BMC Bioinformatics, September 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
9 X users
facebook
2 Facebook pages

Citations

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46 Dimensions

Readers on

mendeley
89 Mendeley
citeulike
1 CiteULike
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Title
NetBenchmark: a bioconductor package for reproducible benchmarks of gene regulatory network inference
Published in
BMC Bioinformatics, September 2015
DOI 10.1186/s12859-015-0728-4
Pubmed ID
Authors

Pau Bellot, Catharina Olsen, Philippe Salembier, Albert Oliveras-Vergés, Patrick E. Meyer

Abstract

In the last decade, a great number of methods for reconstructing gene regulatory networks from expression data have been proposed. However, very few tools and datasets allow to evaluate accurately and reproducibly those methods. Hence, we propose here a new tool, able to perform a systematic, yet fully reproducible, evaluation of transcriptional network inference methods. Our open-source and freely available Bioconductor package aggregates a large set of tools to assess the robustness of network inference algorithms against different simulators, topologies, sample sizes and noise intensities. The benchmarking framework that uses various datasets highlights the specialization of some methods toward network types and data. As a result, it is possible to identify the techniques that have broad overall performances.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 1%
Sri Lanka 1 1%
Australia 1 1%
Unknown 86 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 25%
Student > Ph. D. Student 17 19%
Student > Master 11 12%
Student > Bachelor 8 9%
Student > Doctoral Student 6 7%
Other 14 16%
Unknown 11 12%
Readers by discipline Count As %
Computer Science 20 22%
Agricultural and Biological Sciences 18 20%
Biochemistry, Genetics and Molecular Biology 17 19%
Engineering 9 10%
Mathematics 5 6%
Other 9 10%
Unknown 11 12%
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 26 June 2021.
All research outputs
#5,992,436
of 24,597,084 outputs
Outputs from BMC Bioinformatics
#2,027
of 7,558 outputs
Outputs of similar age
#67,602
of 279,761 outputs
Outputs of similar age from BMC Bioinformatics
#43
of 140 outputs
Altmetric has tracked 24,597,084 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,558 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 73% 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 279,761 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 75% of its contemporaries.
We're also able to compare this research output to 140 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 69% of its contemporaries.