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Raising the estimate of functional human sequences

Overview of attention for article published in Genome Research, August 2007
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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 (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

patent
1 patent
wikipedia
4 Wikipedia pages

Citations

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213 Dimensions

Readers on

mendeley
235 Mendeley
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13 CiteULike
connotea
3 Connotea
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Title
Raising the estimate of functional human sequences
Published in
Genome Research, August 2007
DOI 10.1101/gr.6406307
Pubmed ID
Authors

Michael Pheasant, John S. Mattick

Abstract

While less than 1.5% of the mammalian genome encodes proteins, it is now evident that the vast majority is transcribed, mainly into non-protein-coding RNAs. This raises the question of what fraction of the genome is functional, i.e., composed of sequences that yield functional products, are required for the expression (regulation or processing) of these products, or are required for chromosome replication and maintenance. Many of the observed noncoding transcripts are differentially expressed, and, while most have not yet been studied, increasing numbers are being shown to be functional and/or trafficked to specific subcellular locations, as well as exhibit subtle evidence of selection. On the other hand, analyses of conservation patterns indicate that only approximately 5% (3%-8%) of the human genome is under purifying selection for functions common to mammals. However, these estimates rely on the assumption that reference sequences (usually ancient transposon-derived sequences) have evolved neutrally, which may not be the case, and if so would lead to an underestimate of the fraction of the genome under evolutionary constraint. These analyses also do not detect functional sequences that are evolving rapidly and/or have acquired lineage-specific functions. Indeed, many regulatory sequences and known functional noncoding RNAs, including many microRNAs, are not conserved over significant evolutionary distances, and recent evidence from the ENCODE project suggests that many functional elements show no detectable level of sequence constraint. Thus, it is likely that much more than 5% of the genome encodes functional information, and although the upper bound is unknown, it may be considerably higher than currently thought.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 235 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 5%
Brazil 4 2%
United Kingdom 4 2%
Australia 3 1%
Netherlands 2 <1%
Germany 1 <1%
Canada 1 <1%
Italy 1 <1%
Singapore 1 <1%
Other 3 1%
Unknown 203 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 68 29%
Student > Ph. D. Student 50 21%
Student > Bachelor 20 9%
Professor 17 7%
Professor > Associate Professor 16 7%
Other 43 18%
Unknown 21 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 122 52%
Biochemistry, Genetics and Molecular Biology 51 22%
Medicine and Dentistry 10 4%
Computer Science 7 3%
Unspecified 6 3%
Other 14 6%
Unknown 25 11%
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 09 August 2016.
All research outputs
#5,446,629
of 25,373,627 outputs
Outputs from Genome Research
#2,312
of 4,425 outputs
Outputs of similar age
#15,061
of 76,174 outputs
Outputs of similar age from Genome Research
#12
of 30 outputs
Altmetric has tracked 25,373,627 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 4,425 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.3. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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 76,174 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 30 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 53% of its contemporaries.