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Mendeley readers
Attention Score in Context
Title |
Bidirectional promoters are the major source of gene activation-associated non-coding RNAs in mammals
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Published in |
BMC Genomics, January 2014
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DOI | 10.1186/1471-2164-15-35 |
Pubmed ID | |
Authors |
Masahiro Uesaka, Osamu Nishimura, Yasuhiro Go, Kinichi Nakashima, Kiyokazu Agata, Takuya Imamura |
Abstract |
The majority of non-coding RNAs (ncRNAs) involved in mRNA metabolism in mammals have been believed to downregulate the corresponding mRNA expression level in a pre- or post-transcriptional manner by forming short or long ncRNA-mRNA duplex structures. Information on non-duplex-forming long ncRNAs is now also rapidly accumulating. To examine the directional properties of transcription at the whole-genome level, we performed directional RNA-seq analysis of mouse and chimpanzee tissue samples. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 2 | 33% |
France | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 83% |
Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 2% |
United States | 2 | 1% |
Netherlands | 1 | <1% |
South Africa | 1 | <1% |
Canada | 1 | <1% |
Germany | 1 | <1% |
Spain | 1 | <1% |
Argentina | 1 | <1% |
Unknown | 149 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 43 | 27% |
Researcher | 33 | 21% |
Student > Master | 21 | 13% |
Student > Bachelor | 12 | 8% |
Other | 8 | 5% |
Other | 26 | 16% |
Unknown | 17 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 69 | 43% |
Biochemistry, Genetics and Molecular Biology | 48 | 30% |
Medicine and Dentistry | 10 | 6% |
Immunology and Microbiology | 5 | 3% |
Computer Science | 4 | 3% |
Other | 5 | 3% |
Unknown | 19 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 February 2014.
All research outputs
#6,351,485
of 22,739,983 outputs
Outputs from BMC Genomics
#2,830
of 10,630 outputs
Outputs of similar age
#75,367
of 304,587 outputs
Outputs of similar age from BMC Genomics
#137
of 444 outputs
Altmetric has tracked 22,739,983 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 10,630 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 73% 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 304,587 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 75% of its contemporaries.
We're also able to compare this research output to 444 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 68% of its contemporaries.