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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A survey of best practices for RNA-seq data analysis
|
|---|---|
| Published in |
Genome Biology, January 2016
|
| DOI | 10.1186/s13059-016-0881-8 |
| Pubmed ID | |
| Authors |
Ana Conesa, Pedro Madrigal, Sonia Tarazona, David Gomez-Cabrero, Alejandra Cervera, Andrew McPherson, Michał Wojciech Szcześniak, Daniel J. Gaffney, Laura L. Elo, Xuegong Zhang, Ali Mortazavi |
X Demographics
The data shown below were collected from the profiles of 404 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 States | 95 | 24% |
| United Kingdom | 31 | 8% |
| Canada | 14 | 3% |
| Spain | 12 | 3% |
| Australia | 12 | 3% |
| France | 10 | 2% |
| Germany | 9 | 2% |
| India | 9 | 2% |
| Sweden | 7 | 2% |
| Other | 72 | 18% |
| Unknown | 133 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 234 | 58% |
| Members of the public | 162 | 40% |
| Science communicators (journalists, bloggers, editors) | 5 | 1% |
| Practitioners (doctors, other healthcare professionals) | 3 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 10,806 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 76 | <1% |
| United Kingdom | 25 | <1% |
| Germany | 19 | <1% |
| Brazil | 17 | <1% |
| Spain | 13 | <1% |
| Sweden | 9 | <1% |
| Mexico | 8 | <1% |
| France | 7 | <1% |
| Chile | 6 | <1% |
| Other | 93 | <1% |
| Unknown | 10533 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2745 | 25% |
| Researcher | 1842 | 17% |
| Student > Master | 1525 | 14% |
| Student > Bachelor | 1033 | 10% |
| Student > Doctoral Student | 605 | 6% |
| Other | 1266 | 12% |
| Unknown | 1790 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3327 | 31% |
| Biochemistry, Genetics and Molecular Biology | 3271 | 30% |
| Medicine and Dentistry | 400 | 4% |
| Computer Science | 365 | 3% |
| Immunology and Microbiology | 303 | 3% |
| Other | 1074 | 10% |
| Unknown | 2066 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 272. 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 13 February 2024.
All research outputs
#134,489
of 25,736,439 outputs
Outputs from Genome Biology
#35
of 4,509 outputs
Outputs of similar age
#2,265
of 407,915 outputs
Outputs of similar age from Genome Biology
#2
of 63 outputs
Altmetric has tracked 25,736,439 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,509 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 particularly well, scoring higher than 99% 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 407,915 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 99% of its contemporaries.
We're also able to compare this research output to 63 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.