Title |
A New Bat-HKU2–like Coronavirus in Swine, China, 2017 - Volume 23, Number 9—September 2017 - Emerging Infectious Diseases journal - CDC
|
---|---|
Published in |
Emerging Infectious Diseases, September 2017
|
DOI | 10.3201/eid2309.170915 |
Pubmed ID | |
Authors |
Lang Gong, Jie Li, Qingfeng Zhou, Zhichao Xu, Li Chen, Yun Zhang, Chunyi Xue, Zhifen Wen, Yongchang Cao |
Abstract |
We identified from suckling piglets with diarrhea in China a new bat-HKU2-like porcine coronavirus (porcine enteric alphacoronavirus). The GDS04 strain of this coronavirus shares high aa identities (>90%) with the reported bat-HKU2 strains in Coronaviridae-wide conserved domains, suggesting that the GDS04 strain belongs to the same species as HKU2. |
X Demographics
The data shown below were collected from the profiles of 18 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 | 6 | 33% |
Canada | 2 | 11% |
Netherlands | 1 | 6% |
South Africa | 1 | 6% |
India | 1 | 6% |
Unknown | 7 | 39% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 16 | 89% |
Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 105 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 20 | 19% |
Researcher | 14 | 13% |
Student > Master | 11 | 10% |
Student > Bachelor | 10 | 10% |
Other | 5 | 5% |
Other | 17 | 16% |
Unknown | 28 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 16 | 15% |
Veterinary Science and Veterinary Medicine | 15 | 14% |
Biochemistry, Genetics and Molecular Biology | 12 | 11% |
Immunology and Microbiology | 9 | 9% |
Environmental Science | 4 | 4% |
Other | 12 | 11% |
Unknown | 37 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 30. 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 01 January 2022.
All research outputs
#1,320,577
of 25,382,440 outputs
Outputs from Emerging Infectious Diseases
#1,486
of 9,718 outputs
Outputs of similar age
#26,190
of 325,055 outputs
Outputs of similar age from Emerging Infectious Diseases
#20
of 130 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,718 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.7. This one has done well, scoring higher than 84% 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 325,055 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 130 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.