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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Review of Computational Tools in microRNA Discovery
|
|---|---|
| Published in |
Frontiers in Genetics, January 2013
|
| DOI | 10.3389/fgene.2013.00081 |
| Pubmed ID | |
| Authors |
Clarissa P. C. Gomes, Ji-Hoon Cho, Leroy Hood, Octávio L. Franco, Rinaldo W. Pereira, Kai Wang |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 29% |
| United Kingdom | 2 | 29% |
| United States | 1 | 14% |
| France | 1 | 14% |
| Switzerland | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 86% |
| Members of the public | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 250 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 4 | 2% |
| Germany | 3 | 1% |
| India | 3 | 1% |
| Brazil | 2 | <1% |
| Turkey | 2 | <1% |
| United Kingdom | 2 | <1% |
| Canada | 2 | <1% |
| Sweden | 1 | <1% |
| Israel | 1 | <1% |
| Other | 7 | 3% |
| Unknown | 223 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 66 | 26% |
| Researcher | 52 | 21% |
| Student > Master | 37 | 15% |
| Student > Doctoral Student | 16 | 6% |
| Professor > Associate Professor | 13 | 5% |
| Other | 33 | 13% |
| Unknown | 33 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 115 | 46% |
| Biochemistry, Genetics and Molecular Biology | 38 | 15% |
| Computer Science | 24 | 10% |
| Medicine and Dentistry | 8 | 3% |
| Immunology and Microbiology | 3 | 1% |
| Other | 21 | 8% |
| Unknown | 41 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 14 June 2013.
All research outputs
#2,852,782
of 22,710,079 outputs
Outputs from Frontiers in Genetics
#790
of 11,756 outputs
Outputs of similar age
#30,465
of 280,734 outputs
Outputs of similar age from Frontiers in Genetics
#38
of 319 outputs
Altmetric has tracked 22,710,079 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,756 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 93% 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 280,734 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 89% of its contemporaries.
We're also able to compare this research output to 319 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.