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X Demographics
Mendeley readers
Attention Score in Context
| Title |
GWATCH: a web platform for automated gene association discovery analysis
|
|---|---|
| Published in |
Giga Science, November 2014
|
| DOI | 10.1186/2047-217x-3-18 |
| Pubmed ID | |
| Authors |
Anton Svitin, Sergey Malov, Nikolay Cherkasov, Paul Geerts, Mikhail Rotkevich, Pavel Dobrynin, Andrey Shevchenko, Li Guan, Jennifer Troyer, Sher Hendrickson, Holli Hutcheson Dilks, Taras K Oleksyk, Sharyne Donfield, Edward Gomperts, Douglas A Jabs, Efe Sezgin, Mark Van Natta, P Richard Harrigan, Zabrina L Brumme, Stephen J O’Brien |
X Demographics
The data shown below were collected from the profiles of 70 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 | 14 | 20% |
| United Kingdom | 11 | 16% |
| Spain | 3 | 4% |
| Netherlands | 2 | 3% |
| India | 2 | 3% |
| Belgium | 1 | 1% |
| Puerto Rico | 1 | 1% |
| Canada | 1 | 1% |
| Australia | 1 | 1% |
| Other | 10 | 14% |
| Unknown | 24 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 40 | 57% |
| Scientists | 24 | 34% |
| Practitioners (doctors, other healthcare professionals) | 4 | 6% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Chile | 1 | 1% |
| Hong Kong | 1 | 1% |
| Unknown | 64 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 22% |
| Student > Ph. D. Student | 12 | 18% |
| Professor > Associate Professor | 7 | 10% |
| Student > Master | 7 | 10% |
| Student > Bachelor | 6 | 9% |
| Other | 13 | 19% |
| Unknown | 8 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 31% |
| Biochemistry, Genetics and Molecular Biology | 12 | 18% |
| Medicine and Dentistry | 6 | 9% |
| Nursing and Health Professions | 4 | 6% |
| Computer Science | 4 | 6% |
| Other | 8 | 12% |
| Unknown | 13 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 101. 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 26 October 2017.
All research outputs
#423,641
of 25,706,302 outputs
Outputs from Giga Science
#30
of 1,176 outputs
Outputs of similar age
#4,411
of 277,184 outputs
Outputs of similar age from Giga Science
#2
of 20 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,176 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.7. This one has done particularly well, scoring higher than 97% 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 277,184 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 98% of its contemporaries.
We're also able to compare this research output to 20 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 90% of its contemporaries.