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A meta-analysis of the genomic and transcriptomic composition of complex life

Overview of attention for article published in Cell Cycle, October 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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

blogs
1 blog
twitter
19 X users
wikipedia
1 Wikipedia page
video
1 YouTube creator

Citations

dimensions_citation
130 Dimensions

Readers on

mendeley
186 Mendeley
citeulike
2 CiteULike
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Title
A meta-analysis of the genomic and transcriptomic composition of complex life
Published in
Cell Cycle, October 2014
DOI 10.4161/cc.25134
Pubmed ID
Authors

Gangiang Liu, John Mattick, Ryan J. Taft

Abstract

It is now clear that animal genomes are predominantly non-protein-coding, and that these sequences encode a wide array of RNA transcripts and other regulatory elements that are fundamental to the development of complex life. We have previously argued that the proportion of an animal genome that is non-protein-coding DNA (ncDNA) correlates well with its apparent biological complexity. Here we extend on that work and, using data from a total of 1,627 prokaryotic and 153 eukaryotic complete and annotated genomes, show that the proportion of ncDNA per haploid genome is significantly positively correlated with a previously published proxy of biological complexity, the number of distinct cell types. This is in contrast to the amount of the genome that encodes proteins, which we show is essentially unchanged across Metazoa. Furthermore, using a total of 179 RNA-seq data sets from nematode (47), fruit fly (72), zebrafish (20) and human (42), we show, consistent with other recent reports, that the vast majority of ncDNA in animals is transcribed. This includes more than 60 human loci previously considered "gene deserts," many of which are expressed tissue-specifically and associated with previously reported GWAS SNPs. These results suggest that ncDNA, and the ncRNAs encoded within it, may be intimately involved in the evolution, maintenance and development of complex life.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
United Kingdom 2 1%
Australia 1 <1%
Germany 1 <1%
Belgium 1 <1%
France 1 <1%
Unknown 177 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 26%
Researcher 25 13%
Student > Master 23 12%
Student > Doctoral Student 11 6%
Student > Bachelor 9 5%
Other 35 19%
Unknown 34 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 56 30%
Agricultural and Biological Sciences 54 29%
Neuroscience 10 5%
Medicine and Dentistry 9 5%
Chemistry 5 3%
Other 12 6%
Unknown 40 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 06 July 2023.
All research outputs
#1,770,728
of 25,225,182 outputs
Outputs from Cell Cycle
#80
of 3,739 outputs
Outputs of similar age
#19,940
of 267,710 outputs
Outputs of similar age from Cell Cycle
#37
of 1,289 outputs
Altmetric has tracked 25,225,182 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,739 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 97% 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 267,710 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 1,289 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 97% of its contemporaries.