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X Demographics
Mendeley readers
Attention Score in Context
Title |
Enhanced methods for unbiased deep sequencing of Lassa and Ebola RNA viruses from clinical and biological samples
|
---|---|
Published in |
Genome Biology, January 2014
|
DOI | 10.1186/preaccept-1698056557139770 |
Pubmed ID | |
Authors |
Christian B Matranga, Kristian G Andersen, Sarah Winnicki, Michele Busby, Adrianne D Gladden, Ryan Tewhey, Matthew Stremlau, Aaron Berlin, Stephen K Gire, Eleina England, Lina M Moses, Tarjei S Mikkelsen, Ikponmwonsa Odia, Philomena E Ehiane, Onikepe Folarin, Augustine Goba, S Kahn, Donald S Grant, Anna Honko, Lisa Hensley, Christian Happi, Robert F Garry, Christine M Malboeuf, Bruce W Birren, Andreas Gnirke, Joshua Z Levin, Pardis C Sabeti |
X Demographics
The data shown below were collected from the profiles of 37 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 | 10 | 27% |
United Kingdom | 4 | 11% |
Germany | 2 | 5% |
France | 2 | 5% |
India | 1 | 3% |
South Africa | 1 | 3% |
Mexico | 1 | 3% |
Unknown | 16 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 20 | 54% |
Members of the public | 15 | 41% |
Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 4% |
Germany | 2 | 3% |
Sweden | 1 | 1% |
Brazil | 1 | 1% |
Unknown | 71 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 24 | 31% |
Student > Ph. D. Student | 11 | 14% |
Student > Master | 8 | 10% |
Other | 7 | 9% |
Student > Bachelor | 5 | 6% |
Other | 16 | 21% |
Unknown | 7 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 23 | 29% |
Biochemistry, Genetics and Molecular Biology | 12 | 15% |
Medicine and Dentistry | 9 | 12% |
Immunology and Microbiology | 8 | 10% |
Nursing and Health Professions | 3 | 4% |
Other | 12 | 15% |
Unknown | 11 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 76. 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 10 August 2015.
All research outputs
#560,814
of 25,394,081 outputs
Outputs from Genome Biology
#333
of 4,470 outputs
Outputs of similar age
#5,593
of 319,334 outputs
Outputs of similar age from Genome Biology
#9
of 116 outputs
Altmetric has tracked 25,394,081 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 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 92% 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 319,334 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 116 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 93% of its contemporaries.