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X Demographics
Mendeley readers
| Title |
Evidence of recombination in coronaviruses implicating pangolin origins of nCoV-2019
|
|---|---|
| Published in |
bioRxiv, February 2020
|
| DOI | 10.1101/2020.02.07.939207 |
| Pubmed ID | |
| Authors |
Matthew C. Wong, Sara J. Javornik Cregeen, Nadim J. Ajami, Joseph F. Petrosino |
| Abstract |
A novel coronavirus (nCoV-2019) was the cause of an outbreak of respiratory illness detected in Wuhan, Hubei Province, China in December of 2019. Genomic analyses of nCoV-2019 determined a 96% resemblance with a coronavirus isolated from a bat in 2013 (RaTG13); however, the receptor binding motif (RBM) of these two genomes share low sequence similarity. This divergence suggests a possible alternative source for the RBM coding sequence in nCoV-2019. We identified high sequence similarity in the RBM between nCoV-2019 and a coronavirus genome reconstructed from a viral metagenomic dataset from pangolins possibly indicating a more complex origin for nCoV-2019. |
X Demographics
The data shown below were collected from the profiles of 148 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 | 26 | 18% |
| France | 8 | 5% |
| United Kingdom | 8 | 5% |
| Israel | 3 | 2% |
| Germany | 3 | 2% |
| Ireland | 2 | 1% |
| Austria | 2 | 1% |
| Hong Kong | 2 | 1% |
| China | 2 | 1% |
| Other | 19 | 13% |
| Unknown | 73 | 49% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 107 | 72% |
| Scientists | 33 | 22% |
| Science communicators (journalists, bloggers, editors) | 5 | 3% |
| Practitioners (doctors, other healthcare professionals) | 2 | 1% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 364 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 364 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 59 | 16% |
| Researcher | 53 | 15% |
| Student > Bachelor | 44 | 12% |
| Student > Ph. D. Student | 32 | 9% |
| Other | 21 | 6% |
| Other | 58 | 16% |
| Unknown | 97 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 80 | 22% |
| Medicine and Dentistry | 48 | 13% |
| Agricultural and Biological Sciences | 29 | 8% |
| Immunology and Microbiology | 16 | 4% |
| Veterinary Science and Veterinary Medicine | 12 | 3% |
| Other | 69 | 19% |
| Unknown | 110 | 30% |