| Title |
Rapid implementation of SARS-CoV-2 sequencing to investigate cases of health-care associated COVID-19: a prospective genomic surveillance study
|
|---|---|
| Published in |
Lancet Infectious Diseases, July 2020
|
| DOI | 10.1016/s1473-3099(20)30562-4 |
| Pubmed ID | |
| Authors |
Luke W Meredith, William L Hamilton, Ben Warne, Charlotte J Houldcroft, Myra Hosmillo, Aminu S Jahun, Martin D Curran, Surendra Parmar, Laura G Caller, Sarah L Caddy, Fahad A Khokhar, Anna Yakovleva, Grant Hall, Theresa Feltwell, Sally Forrest, Sushmita Sridhar, Michael P Weekes, Stephen Baker, Nicholas Brown, Elinor Moore, Ashley Popay, Iain Roddick, Mark Reacher, Theodore Gouliouris, Sharon J Peacock, Gordon Dougan, M Estée Török, Ian Goodfellow |
X Demographics
The data shown below were collected from the profiles of 628 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 87 | 14% |
| United Kingdom | 79 | 13% |
| United States | 43 | 7% |
| India | 9 | 1% |
| Germany | 8 | 1% |
| Canada | 7 | 1% |
| Brazil | 6 | <1% |
| South Africa | 6 | <1% |
| Australia | 5 | <1% |
| Other | 43 | 7% |
| Unknown | 335 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 488 | 78% |
| Scientists | 99 | 16% |
| Practitioners (doctors, other healthcare professionals) | 32 | 5% |
| Science communicators (journalists, bloggers, editors) | 9 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 486 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 486 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 64 | 13% |
| Researcher | 59 | 12% |
| Student > Ph. D. Student | 50 | 10% |
| Student > Bachelor | 45 | 9% |
| Other | 35 | 7% |
| Other | 75 | 15% |
| Unknown | 158 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 85 | 17% |
| Medicine and Dentistry | 75 | 15% |
| Nursing and Health Professions | 26 | 5% |
| Immunology and Microbiology | 22 | 5% |
| Agricultural and Biological Sciences | 22 | 5% |
| Other | 80 | 16% |
| Unknown | 176 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 648. 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 03 August 2023.
All research outputs
#34,333
of 25,838,141 outputs
Outputs from Lancet Infectious Diseases
#166
of 6,133 outputs
Outputs of similar age
#1,425
of 431,334 outputs
Outputs of similar age from Lancet Infectious Diseases
#13
of 139 outputs
Altmetric has tracked 25,838,141 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 6,133 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 93.7. This one has done particularly well, scoring higher than 97% 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 431,334 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 139 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 90% of its contemporaries.