| Title |
Rapid virulence prediction and identification of Newcastle disease virus genotypes using third-generation sequencing
|
|---|---|
| Published in |
Virology Journal, November 2018
|
| DOI | 10.1186/s12985-018-1077-5 |
| Pubmed ID | |
| Authors |
Salman L. Butt, Tonya L. Taylor, Jeremy D. Volkening, Kiril M. Dimitrov, Dawn Williams-Coplin, Kevin K. Lahmers, Patti J. Miller, Asif M. Rana, David L. Suarez, Claudio L. Afonso, James B. Stanton |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Scientists | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 73 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 22% |
| Student > Ph. D. Student | 11 | 15% |
| Student > Bachelor | 8 | 11% |
| Student > Master | 5 | 7% |
| Professor | 4 | 5% |
| Other | 14 | 19% |
| Unknown | 15 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Veterinary Science and Veterinary Medicine | 16 | 22% |
| Biochemistry, Genetics and Molecular Biology | 13 | 18% |
| Agricultural and Biological Sciences | 9 | 12% |
| Medicine and Dentistry | 4 | 5% |
| Immunology and Microbiology | 3 | 4% |
| Other | 9 | 12% |
| Unknown | 19 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 15 March 2019.
All research outputs
#13,963,834
of 23,646,998 outputs
Outputs from Virology Journal
#1,392
of 3,125 outputs
Outputs of similar age
#219,315
of 440,791 outputs
Outputs of similar age from Virology Journal
#17
of 44 outputs
Altmetric has tracked 23,646,998 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,125 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one has gotten more attention than average, scoring higher than 52% 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 440,791 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 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 63% of its contemporaries.