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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Human Cancer Long Non-Coding RNA Transcriptomes
|
|---|---|
| Published in |
PLOS ONE, October 2011
|
| DOI | 10.1371/journal.pone.0025915 |
| Pubmed ID | |
| Authors |
Ewan A. Gibb, Emily A. Vucic, Katey S. S. Enfield, Greg L. Stewart, Kim M. Lonergan, Jennifer Y. Kennett, Daiana D. Becker-Santos, Calum E. MacAulay, Stephen Lam, Carolyn J. Brown, Wan L. Lam |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 303 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 1% |
| United Kingdom | 2 | <1% |
| Denmark | 2 | <1% |
| France | 1 | <1% |
| Italy | 1 | <1% |
| Sweden | 1 | <1% |
| South Africa | 1 | <1% |
| India | 1 | <1% |
| Germany | 1 | <1% |
| Other | 4 | 1% |
| Unknown | 285 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 75 | 25% |
| Researcher | 66 | 22% |
| Student > Master | 39 | 13% |
| Student > Bachelor | 27 | 9% |
| Student > Postgraduate | 16 | 5% |
| Other | 45 | 15% |
| Unknown | 35 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 120 | 40% |
| Biochemistry, Genetics and Molecular Biology | 88 | 29% |
| Medicine and Dentistry | 32 | 11% |
| Computer Science | 5 | 2% |
| Immunology and Microbiology | 3 | <1% |
| Other | 14 | 5% |
| Unknown | 41 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 12 October 2021.
All research outputs
#3,722,734
of 25,837,817 outputs
Outputs from PLOS ONE
#48,391
of 224,660 outputs
Outputs of similar age
#19,465
of 147,023 outputs
Outputs of similar age from PLOS ONE
#462
of 2,644 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 224,660 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done well, scoring higher than 78% 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 147,023 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 86% of its contemporaries.
We're also able to compare this research output to 2,644 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.