| Title |
Rapid reconstruction of SARS-CoV-2 using a synthetic genomics platform
|
|---|---|
| Published in |
Nature, May 2020
|
| DOI | 10.1038/s41586-020-2294-9 |
| Pubmed ID | |
| Authors |
Tran Thi Nhu Thao, Fabien Labroussaa, Nadine Ebert, Philip V’kovski, Hanspeter Stalder, Jasmine Portmann, Jenna Kelly, Silvio Steiner, Melle Holwerda, Annika Kratzel, Mitra Gultom, Kimberly Schmied, Laura Laloli, Linda Hüsser, Manon Wider, Stephanie Pfaender, Dagny Hirt, Valentina Cippà, Silvia Crespo-Pomar, Simon Schröder, Doreen Muth, Daniela Niemeyer, Victor M. Corman, Marcel A. Müller, Christian Drosten, Ronald Dijkman, Joerg Jores, Volker Thiel |
X Demographics
The data shown below were collected from the profiles of 2,069 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 | 256 | 12% |
| United Kingdom | 97 | 5% |
| Spain | 73 | 4% |
| Germany | 46 | 2% |
| Australia | 40 | 2% |
| Japan | 40 | 2% |
| Brazil | 36 | 2% |
| Canada | 36 | 2% |
| India | 34 | 2% |
| Other | 310 | 15% |
| Unknown | 1101 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1664 | 80% |
| Scientists | 332 | 16% |
| Practitioners (doctors, other healthcare professionals) | 44 | 2% |
| Science communicators (journalists, bloggers, editors) | 23 | 1% |
| Unknown | 6 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 716 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 716 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 127 | 18% |
| Student > Ph. D. Student | 97 | 14% |
| Student > Bachelor | 66 | 9% |
| Student > Master | 61 | 9% |
| Other | 35 | 5% |
| Other | 118 | 16% |
| Unknown | 212 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 155 | 22% |
| Agricultural and Biological Sciences | 90 | 13% |
| Immunology and Microbiology | 67 | 9% |
| Medicine and Dentistry | 63 | 9% |
| Veterinary Science and Veterinary Medicine | 14 | 2% |
| Other | 93 | 13% |
| Unknown | 234 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1508. 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 12 April 2024.
All research outputs
#7,929
of 25,760,414 outputs
Outputs from Nature
#841
of 98,682 outputs
Outputs of similar age
#480
of 414,604 outputs
Outputs of similar age from Nature
#60
of 940 outputs
Altmetric has tracked 25,760,414 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 98,682 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 414,604 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 940 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 93% of its contemporaries.