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Novel RNAs Identified From an In-Depth Analysis of the Transcriptome of Human Chromosomes 21 and 22

Overview of attention for article published in Genome Research, March 2004
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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 (56th percentile)

Mentioned by

patent
4 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
445 Dimensions

Readers on

mendeley
215 Mendeley
citeulike
5 CiteULike
connotea
6 Connotea
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Title
Novel RNAs Identified From an In-Depth Analysis of the Transcriptome of Human Chromosomes 21 and 22
Published in
Genome Research, March 2004
DOI 10.1101/gr.2094104
Pubmed ID
Authors

Dione Kampa, Jill Cheng, Philipp Kapranov, Mark Yamanaka, Shane Brubaker, Simon Cawley, Jorg Drenkow, Antonio Piccolboni, Stefan Bekiranov, Gregg Helt, Hari Tammana, Thomas R Gingeras

Abstract

In this report, we have achieved a richer view of the transcriptome for Chromosomes 21 and 22 by using high-density oligonucleotide arrays on cytosolic poly(A)(+) RNA. Conservatively, only 31.4% of the observed transcribed nucleotides correspond to well-annotated genes, whereas an additional 4.8% and 14.7% correspond to mRNAs and ESTs, respectively. Approximately 85% of the known exons were detected, and up to 21% of known genes have only a single isoform based on exon-skipping alternative expression. Overall, the expression of the well-characterized exons falls predominately into two categories, uniquely or ubiquitously expressed with an identifiable proportion of antisense transcripts. The remaining observed transcription (49.0%) was outside of any known annotation. These novel transcripts appear to be more cell-line-specific and have lower and less variation in expression than the well-characterized genes. Novel transcripts were further characterized based on their distance to annotations, transcript size, coding capacity, and identification as antisense to intronic sequences. By RT-PCR, 126 novel transcripts were independently verified, resulting in a 65% verification rate. These observations strongly support the argument for a re-evaluation of the total number of human genes and an alternative term for "gene" to encompass these growing, novel classes of RNA transcripts in the human genome.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 215 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 4%
United Kingdom 7 3%
Germany 3 1%
Switzerland 2 <1%
Australia 2 <1%
Netherlands 1 <1%
Austria 1 <1%
Hong Kong 1 <1%
Denmark 1 <1%
Other 3 1%
Unknown 186 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 68 32%
Student > Ph. D. Student 43 20%
Professor > Associate Professor 26 12%
Student > Master 17 8%
Student > Bachelor 12 6%
Other 30 14%
Unknown 19 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 114 53%
Biochemistry, Genetics and Molecular Biology 40 19%
Computer Science 13 6%
Medicine and Dentistry 8 4%
Neuroscience 4 2%
Other 18 8%
Unknown 18 8%
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 11 October 2016.
All research outputs
#5,447,195
of 25,374,917 outputs
Outputs from Genome Research
#2,312
of 4,425 outputs
Outputs of similar age
#11,359
of 63,047 outputs
Outputs of similar age from Genome Research
#15
of 41 outputs
Altmetric has tracked 25,374,917 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 63,047 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 41 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 56% of its contemporaries.