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Mendeley readers
Attention Score in Context
| Title |
Elucidating variations in the nucleotide sequence of Ebola virus associated with increasing pathogenicity
|
|---|---|
| Published in |
Genome Biology, November 2014
|
| DOI | 10.1186/s13059-014-0540-x |
| Pubmed ID | |
| Authors |
Stuart D Dowall, David A Matthews, Isabel García-Dorival, Irene Taylor, John Kenny, Christiane Hertz-Fowler, Neil Hall, Kara Corbin-Lickfett, Cyril Empig, Kyle Schlunegger, John N Barr, Miles W Carroll, Roger Hewson, Julian A Hiscox |
| Abstract |
Ebolaviruses causes a severe and often fatal hemorrhagic fever in humans, with some species such as Ebola virus having case fatality rates approaching 90%. Currently the worst Ebola virus outbreak since the disease was discovered is occurring in West Africa. Although thought to be a zoonotic infection, a concern is that with increasing numbers of humans being infected, Ebola virus variants could be selected which are better adapted for human-to-human transmission. |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 3% |
| United States | 1 | 1% |
| Unknown | 89 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 26% |
| Student > Ph. D. Student | 14 | 15% |
| Student > Bachelor | 10 | 11% |
| Other | 9 | 10% |
| Student > Master | 8 | 9% |
| Other | 18 | 19% |
| Unknown | 10 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 31 | 33% |
| Medicine and Dentistry | 20 | 22% |
| Biochemistry, Genetics and Molecular Biology | 10 | 11% |
| Immunology and Microbiology | 6 | 6% |
| Nursing and Health Professions | 3 | 3% |
| Other | 11 | 12% |
| Unknown | 12 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 03 December 2018.
All research outputs
#2,276,386
of 25,371,288 outputs
Outputs from Genome Biology
#1,874
of 4,467 outputs
Outputs of similar age
#30,427
of 368,563 outputs
Outputs of similar age from Genome Biology
#43
of 101 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st 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 58% 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 368,563 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 91% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.