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On the Immortality of Television Sets: "Function" in the Human Genome According to the Evolution-Free Gospel of ENCODE

Overview of attention for article published in Genome Biology & Evolution, February 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#6 of 2,972)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Citations

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405 Dimensions

Readers on

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1542 Mendeley
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32 CiteULike
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Title
On the Immortality of Television Sets: "Function" in the Human Genome According to the Evolution-Free Gospel of ENCODE
Published in
Genome Biology & Evolution, February 2013
DOI 10.1093/gbe/evt028
Pubmed ID
Authors

D. Graur, Y. Zheng, N. Price, R. B. R. Azevedo, R. A. Zufall, E. Elhaik

Abstract

A recent slew of ENCyclopedia Of DNA Elements (ENCODE) Consortium publications, specifically the article signed by all Consortium members, put forward the idea that more than 80% of the human genome is functional. This claim flies in the face of current estimates according to which the fraction of the genome that is evolutionarily conserved through purifying selection is less than 10%. Thus, according to the ENCODE Consortium, a biological function can be maintained indefinitely without selection, which implies that at least 80 - 10 = 70% of the genome is perfectly invulnerable to deleterious mutations, either because no mutation can ever occur in these "functional" regions or because no mutation in these regions can ever be deleterious. This absurd conclusion was reached through various means, chiefly by employing the seldom used "causal role" definition of biological function and then applying it inconsistently to different biochemical properties, by committing a logical fallacy known as "affirming the consequent," by failing to appreciate the crucial difference between "junk DNA" and "garbage DNA," by using analytical methods that yield biased errors and inflate estimates of functionality, by favoring statistical sensitivity over specificity, and by emphasizing statistical significance rather than the magnitude of the effect. Here, we detail the many logical and methodological transgressions involved in assigning functionality to almost every nucleotide in the human genome. The ENCODE results were predicted by one of its authors to necessitate the rewriting of textbooks. We agree, many textbooks dealing with marketing, mass-media hype, and public relations may well have to be rewritten.

X Demographics

X Demographics

The data shown below were collected from the profiles of 457 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 1,542 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 54 4%
United Kingdom 30 2%
Germany 18 1%
Spain 14 <1%
Canada 10 <1%
France 7 <1%
Norway 7 <1%
Australia 5 <1%
Brazil 5 <1%
Other 57 4%
Unknown 1335 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 412 27%
Researcher 360 23%
Student > Bachelor 185 12%
Student > Master 150 10%
Professor 79 5%
Other 265 17%
Unknown 91 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 867 56%
Biochemistry, Genetics and Molecular Biology 305 20%
Medicine and Dentistry 59 4%
Computer Science 45 3%
Immunology and Microbiology 18 1%
Other 126 8%
Unknown 122 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 642. 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 14 September 2023.
All research outputs
#32,779
of 24,875,286 outputs
Outputs from Genome Biology & Evolution
#6
of 2,972 outputs
Outputs of similar age
#144
of 197,849 outputs
Outputs of similar age from Genome Biology & Evolution
#2
of 46 outputs
Altmetric has tracked 24,875,286 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,972 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one has done particularly well, scoring higher than 99% 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 197,849 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 99% of its contemporaries.
We're also able to compare this research output to 46 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.