| Title |
Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding
|
|---|---|
| Published in |
The Lancet, January 2020
|
| DOI | 10.1016/s0140-6736(20)30251-8 |
| Pubmed ID | |
| Authors |
Roujian Lu, Xiang Zhao, Juan Li, Peihua Niu, Bo Yang, Honglong Wu, Wenling Wang, Hao Song, Baoying Huang, Na Zhu, Yuhai Bi, Xuejun Ma, Faxian Zhan, Liang Wang, Tao Hu, Hong Zhou, Zhenhong Hu, Weimin Zhou, Li Zhao, Jing Chen, Yao Meng, Ji Wang, Yang Lin, Jianying Yuan, Zhihao Xie, Jinmin Ma, William J Liu, Dayan Wang, Wenbo Xu, Edward C Holmes, George F Gao, Guizhen Wu, Weijun Chen, Weifeng Shi, Wenjie Tan |
X Demographics
The data shown below were collected from the profiles of 2,558 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 | 520 | 20% |
| United Kingdom | 69 | 3% |
| Spain | 60 | 2% |
| Canada | 45 | 2% |
| Australia | 32 | 1% |
| Italy | 32 | 1% |
| France | 27 | 1% |
| India | 20 | <1% |
| Malaysia | 17 | <1% |
| Other | 271 | 11% |
| Unknown | 1465 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2303 | 90% |
| Scientists | 157 | 6% |
| Practitioners (doctors, other healthcare professionals) | 70 | 3% |
| Science communicators (journalists, bloggers, editors) | 26 | 1% |
| Unknown | 2 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 12,854 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12854 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 1739 | 14% |
| Student > Master | 1404 | 11% |
| Researcher | 1252 | 10% |
| Student > Ph. D. Student | 1093 | 9% |
| Student > Doctoral Student | 581 | 5% |
| Other | 2136 | 17% |
| Unknown | 4649 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2028 | 16% |
| Biochemistry, Genetics and Molecular Biology | 1751 | 14% |
| Agricultural and Biological Sciences | 714 | 6% |
| Immunology and Microbiology | 552 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 419 | 3% |
| Other | 2242 | 17% |
| Unknown | 5148 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4005. 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 14 May 2024.
All research outputs
#1,240
of 25,922,020 outputs
Outputs from The Lancet
#90
of 43,099 outputs
Outputs of similar age
#46
of 477,900 outputs
Outputs of similar age from The Lancet
#11
of 385 outputs
Altmetric has tracked 25,922,020 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 43,099 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 68.4. 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 477,900 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 385 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 97% of its contemporaries.