| Title |
Early Release - Differential Tropism of SARS-CoV and SARS-CoV-2 in Bat Cells - Volume 26, Number 12—December 2020 - Emerging Infectious Diseases journal - CDC
|
|---|---|
| Published in |
Emerging Infectious Diseases, July 2020
|
| DOI | 10.3201/eid2612.202308 |
| Pubmed ID | |
| Authors |
Susanna K.P. Lau, Antonio C.P. Wong, Hayes K.H. Luk, Kenneth S.M. Li, Joshua Fung, Zirong He, Flora K.K. Cheng, Tony T.Y. Chan, Stella Chu, Kam Leng Aw-Yong, Terrence C.K. Lau, Kitty S.C. Fung, Patrick C.Y. Woo |
X Demographics
The data shown below were collected from the profiles of 66 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 | 7 | 11% |
| Czechia | 3 | 5% |
| Switzerland | 2 | 3% |
| Korea, Democratic People's Republic of | 1 | 2% |
| Canada | 1 | 2% |
| Singapore | 1 | 2% |
| China | 1 | 2% |
| Spain | 1 | 2% |
| Unknown | 49 | 74% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 62 | 94% |
| Scientists | 3 | 5% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 8 | 18% |
| Researcher | 7 | 16% |
| Student > Bachelor | 4 | 9% |
| Librarian | 3 | 7% |
| Professor > Associate Professor | 3 | 7% |
| Other | 4 | 9% |
| Unknown | 16 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 20% |
| Biochemistry, Genetics and Molecular Biology | 6 | 13% |
| Agricultural and Biological Sciences | 3 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Nursing and Health Professions | 2 | 4% |
| Other | 7 | 16% |
| Unknown | 16 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 69. 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 17 April 2024.
All research outputs
#637,523
of 25,791,949 outputs
Outputs from Emerging Infectious Diseases
#788
of 9,786 outputs
Outputs of similar age
#18,958
of 428,637 outputs
Outputs of similar age from Emerging Infectious Diseases
#54
of 208 outputs
Altmetric has tracked 25,791,949 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 9,786 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 46.3. This one has done particularly well, scoring higher than 91% 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 428,637 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 95% of its contemporaries.
We're also able to compare this research output to 208 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 74% of its contemporaries.