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Gene regulatory networks and their applications: understanding biological and medical problems in terms of networks

Overview of attention for article published in Frontiers in Cell and Developmental Biology, August 2014
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
207 Dimensions

Readers on

mendeley
444 Mendeley
citeulike
4 CiteULike
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Title
Gene regulatory networks and their applications: understanding biological and medical problems in terms of networks
Published in
Frontiers in Cell and Developmental Biology, August 2014
DOI 10.3389/fcell.2014.00038
Pubmed ID
Authors

Frank Emmert-Streib, Matthias Dehmer, Benjamin Haibe-Kains

Abstract

In recent years gene regulatory networks (GRNs) have attracted a lot of interest and many methods have been introduced for their statistical inference from gene expression data. However, despite their popularity, GRNs are widely misunderstood. For this reason, we provide in this paper a general discussion and perspective of gene regulatory networks. Specifically, we discuss their meaning, the consistency among different network inference methods, ensemble methods, the assessment of GRNs, the estimated number of existing GRNs and their usage in different application domains. Furthermore, we discuss open questions and necessary steps in order to utilize gene regulatory networks in a clinical context and for personalized medicine.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 444 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Korea, Republic of 1 <1%
Czechia 1 <1%
Brazil 1 <1%
Taiwan 1 <1%
United Kingdom 1 <1%
Unknown 437 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 99 22%
Student > Bachelor 58 13%
Student > Master 55 12%
Researcher 51 11%
Student > Doctoral Student 24 5%
Other 56 13%
Unknown 101 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 117 26%
Agricultural and Biological Sciences 73 16%
Computer Science 40 9%
Engineering 20 5%
Medicine and Dentistry 16 4%
Other 58 13%
Unknown 120 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 07 August 2022.
All research outputs
#2,679,084
of 23,049,027 outputs
Outputs from Frontiers in Cell and Developmental Biology
#482
of 9,136 outputs
Outputs of similar age
#28,560
of 236,267 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#3
of 22 outputs
Altmetric has tracked 23,049,027 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 9,136 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 94% 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 236,267 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 87% of its contemporaries.
We're also able to compare this research output to 22 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 90% of its contemporaries.