| Title |
Household secondary attack rate of COVID-19 and associated determinants in Guangzhou, China: a retrospective cohort study
|
|---|---|
| Published in |
Lancet Infectious Diseases, October 2020
|
| DOI | 10.1016/s1473-3099(20)30471-0 |
| Pubmed ID | |
| Authors |
Qin-Long Jing, Ming-Jin Liu, Zhou-Bin Zhang, Li-Qun Fang, Jun Yuan, An-Ran Zhang, Natalie E Dean, Lei Luo, Meng-Meng Ma, Ira Longini, Eben Kenah, Ying Lu, Yu Ma, Neda Jalali, Zhi-Cong Yang, Yang |
Twitter Demographics
The data shown below were collected from the profiles of 860 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 108 | 13% |
| Brazil | 53 | 6% |
| United Kingdom | 41 | 5% |
| Argentina | 36 | 4% |
| Germany | 25 | 3% |
| Japan | 18 | 2% |
| India | 18 | 2% |
| Canada | 16 | 2% |
| Spain | 16 | 2% |
| Other | 123 | 14% |
| Unknown | 406 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 687 | 80% |
| Scientists | 85 | 10% |
| Practitioners (doctors, other healthcare professionals) | 67 | 8% |
| Science communicators (journalists, bloggers, editors) | 21 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 481 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 481 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 64 | 13% |
| Student > Master | 59 | 12% |
| Student > Ph. D. Student | 37 | 8% |
| Other | 35 | 7% |
| Student > Bachelor | 34 | 7% |
| Other | 95 | 20% |
| Unknown | 157 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 123 | 26% |
| Nursing and Health Professions | 37 | 8% |
| Biochemistry, Genetics and Molecular Biology | 19 | 4% |
| Agricultural and Biological Sciences | 16 | 3% |
| Environmental Science | 10 | 2% |
| Other | 91 | 19% |
| Unknown | 185 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1212. 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 10 February 2023.
All research outputs
#10,825
of 24,514,423 outputs
Outputs from Lancet Infectious Diseases
#73
of 5,841 outputs
Outputs of similar age
#535
of 417,299 outputs
Outputs of similar age from Lancet Infectious Diseases
#7
of 114 outputs
Altmetric has tracked 24,514,423 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 5,841 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 92.6. This one has done particularly well, scoring higher than 98% 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 417,299 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 114 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 94% of its contemporaries.