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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Trends and challenges in computational RNA biology
|
|---|---|
| Published in |
Genome Biology, December 2016
|
| DOI | 10.1186/s13059-016-1117-7 |
| Pubmed ID | |
| Authors |
Alina Selega, Guido Sanguinetti |
| Abstract |
A report on the Wellcome Trust Conference on Computational RNA Biology, held in Hinxton, UK, on 17-19 October 2016. |
X Demographics
The data shown below were collected from the profiles of 32 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 7 | 22% |
| United States | 3 | 9% |
| Australia | 3 | 9% |
| Germany | 2 | 6% |
| France | 2 | 6% |
| Thailand | 1 | 3% |
| Netherlands | 1 | 3% |
| Italy | 1 | 3% |
| Spain | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 7 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 17 | 53% |
| Members of the public | 12 | 38% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Spain | 1 | 2% |
| Ukraine | 1 | 2% |
| Denmark | 1 | 2% |
| Unknown | 47 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 29% |
| Student > Ph. D. Student | 12 | 23% |
| Student > Bachelor | 7 | 13% |
| Student > Master | 4 | 8% |
| Student > Doctoral Student | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 5 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 44% |
| Biochemistry, Genetics and Molecular Biology | 14 | 27% |
| Computer Science | 8 | 15% |
| Immunology and Microbiology | 1 | 2% |
| Medicine and Dentistry | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 5 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 December 2016.
All research outputs
#1,971,809
of 25,373,627 outputs
Outputs from Genome Biology
#1,662
of 4,467 outputs
Outputs of similar age
#38,289
of 420,170 outputs
Outputs of similar age from Genome Biology
#33
of 59 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 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 gotten more attention than average, scoring higher than 62% 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 420,170 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 90% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.