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New genes drive the evolution of gene interaction networks in the human and mouse genomes

Overview of attention for article published in Genome Biology (Online Edition), October 2015
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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 (88th percentile)

Mentioned by

22 tweeters
1 Facebook page
1 Google+ user
1 research highlight platform


77 Dimensions

Readers on

106 Mendeley
2 CiteULike
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New genes drive the evolution of gene interaction networks in the human and mouse genomes
Published in
Genome Biology (Online Edition), October 2015
DOI 10.1186/s13059-015-0772-4
Pubmed ID

Wenyu Zhang, Patrick Landback, Andrea R. Gschwend, Bairong Shen, Manyuan Long


The origin of new genes with novel functions creates genetic and phenotypic diversity in organisms. To acquire functional roles, new genes must integrate into ancestral gene-gene interaction (GGI) networks. The mechanisms by which new genes are integrated into ancestral networks, and their evolutionary significance, are yet to be characterized. Herein, we present a study investigating the rates and patterns of new gene-driven evolution of GGI networks in the human and mouse genomes. We examine the network topological and functional evolution of new genes that originated at various stages in the human and mouse lineages by constructing and analyzing three different GGI datasets. We find a large number of new genes integrated into GGI networks throughout vertebrate evolution. These genes experienced a gradual integration process into GGI networks, starting on the network periphery and gradually becoming highly connected hubs, and acquiring pleiotropic and essential functions. We identify a few human lineage-specific hub genes that have evolved brain development-related functions. Finally, we explore the possible underlying mechanisms driving the GGI network evolution and the observed patterns of new gene integration process. Our results unveil a remarkable network topological integration process of new genes: over 5000 new genes were integrated into the ancestral GGI networks of human and mouse; new genes gradually acquire increasing number of gene partners; some human-specific genes evolved into hub structure with critical phenotypic effects. Our data cast new conceptual insights into the evolution of genetic networks.

Twitter Demographics

The data shown below were collected from the profiles of 22 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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Germany 2 2%
India 2 2%
Norway 1 <1%
Switzerland 1 <1%
United Kingdom 1 <1%
France 1 <1%
Unknown 95 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 24%
Researcher 24 23%
Student > Master 12 11%
Student > Bachelor 12 11%
Student > Doctoral Student 5 5%
Other 10 9%
Unknown 18 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 42%
Biochemistry, Genetics and Molecular Biology 27 25%
Computer Science 7 7%
Mathematics 2 2%
Medicine and Dentistry 2 2%
Other 5 5%
Unknown 18 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 September 2018.
All research outputs
of 21,298,857 outputs
Outputs from Genome Biology (Online Edition)
of 4,017 outputs
Outputs of similar age
of 265,371 outputs
Outputs of similar age from Genome Biology (Online Edition)
of 1 outputs
Altmetric has tracked 21,298,857 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 4,017 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.1. This one has gotten more attention than average, scoring higher than 55% 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 265,371 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them