| Title |
Identifying SARS-CoV-2-related coronaviruses in Malayan pangolins
|
|---|---|
| Published in |
Nature, March 2020
|
| DOI | 10.1038/s41586-020-2169-0 |
| Pubmed ID | |
| Authors |
Tommy Tsan-Yuk Lam, Na Jia, Ya-Wei Zhang, Marcus Ho-Hin Shum, Jia-Fu Jiang, Hua-Chen Zhu, Yi-Gang Tong, Yong-Xia Shi, Xue-Bing Ni, Yun-Shi Liao, Wen-Juan Li, Bao-Gui Jiang, Wei Wei, Ting-Ting Yuan, Kui Zheng, Xiao-Ming Cui, Jie Li, Guang-Qian Pei, Xin Qiang, William Yiu-Man Cheung, Lian-Feng Li, Fang-Fang Sun, Si Qin, Ji-Cheng Huang, Gabriel M. Leung, Edward C. Holmes, Yan-Ling Hu, Yi Guan, Wu-Chun Cao |
X Demographics
The data shown below were collected from the profiles of 3,074 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 | 214 | 7% |
| Japan | 152 | 5% |
| Spain | 152 | 5% |
| United Kingdom | 117 | 4% |
| Argentina | 104 | 3% |
| Chile | 94 | 3% |
| India | 57 | 2% |
| France | 52 | 2% |
| Colombia | 48 | 2% |
| Other | 590 | 19% |
| Unknown | 1494 | 49% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2598 | 85% |
| Scientists | 348 | 11% |
| Practitioners (doctors, other healthcare professionals) | 68 | 2% |
| Science communicators (journalists, bloggers, editors) | 59 | 2% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,091 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2091 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 284 | 14% |
| Researcher | 247 | 12% |
| Student > Master | 215 | 10% |
| Student > Ph. D. Student | 212 | 10% |
| Other | 101 | 5% |
| Other | 331 | 16% |
| Unknown | 701 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 336 | 16% |
| Medicine and Dentistry | 245 | 12% |
| Agricultural and Biological Sciences | 178 | 9% |
| Immunology and Microbiology | 111 | 5% |
| Veterinary Science and Veterinary Medicine | 57 | 3% |
| Other | 390 | 19% |
| Unknown | 774 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4058. 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 29 March 2024.
All research outputs
#1,199
of 25,782,917 outputs
Outputs from Nature
#115
of 98,748 outputs
Outputs of similar age
#103
of 394,473 outputs
Outputs of similar age from Nature
#6
of 929 outputs
Altmetric has tracked 25,782,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 98,748 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.7. This one has done particularly well, scoring higher than 99% 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 394,473 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 99% of its contemporaries.
We're also able to compare this research output to 929 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 99% of its contemporaries.