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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genomewide characterization of non-polyadenylated RNAs
|
|---|---|
| Published in |
Genome Biology, February 2011
|
| DOI | 10.1186/gb-2011-12-2-r16 |
| Pubmed ID | |
| Authors |
Li Yang, Michael O Duff, Brenton R Graveley, Gordon G Carmichael, Ling-Ling Chen |
| Abstract |
RNAs can be physically classified into poly(A)+ or poly(A)- transcripts according to the presence or absence of a poly(A) tail at their 3' ends. Current deep sequencing approaches largely depend on the enrichment of transcripts with a poly(A) tail, and therefore offer little insight into the nature and expression of transcripts that lack poly(A) tails. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Saudi Arabia | 1 | 20% |
| United States | 1 | 20% |
| Denmark | 1 | 20% |
| India | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 80% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 627 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 2% |
| United Kingdom | 5 | <1% |
| France | 4 | <1% |
| Germany | 3 | <1% |
| Denmark | 3 | <1% |
| Japan | 2 | <1% |
| Spain | 2 | <1% |
| Australia | 2 | <1% |
| Italy | 1 | <1% |
| Other | 7 | 1% |
| Unknown | 586 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 185 | 30% |
| Researcher | 141 | 22% |
| Student > Master | 76 | 12% |
| Student > Bachelor | 37 | 6% |
| Student > Doctoral Student | 26 | 4% |
| Other | 89 | 14% |
| Unknown | 73 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 272 | 43% |
| Biochemistry, Genetics and Molecular Biology | 188 | 30% |
| Medicine and Dentistry | 26 | 4% |
| Computer Science | 13 | 2% |
| Neuroscience | 10 | 2% |
| Other | 31 | 5% |
| Unknown | 87 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 25 January 2024.
All research outputs
#1,431,521
of 25,837,817 outputs
Outputs from Genome Biology
#1,125
of 4,506 outputs
Outputs of similar age
#5,315
of 120,713 outputs
Outputs of similar age from Genome Biology
#1
of 30 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,506 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 75% 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 120,713 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 94% 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 done particularly well, scoring higher than 96% of its contemporaries.