| Title |
The effect of travel restrictions on the geographical spread of COVID-19 between large cities in China: a modelling study
|
|---|---|
| Published in |
BMC Medicine, August 2020
|
| DOI | 10.1186/s12916-020-01712-9 |
| Pubmed ID | |
| Authors |
Billy J. Quilty, Charlie Diamond, Yang Liu, Hamish Gibbs, Timothy W. Russell, Christopher I. Jarvis, Kiesha Prem, Carl A. B. Pearson, Samuel Clifford, Stefan Flasche, Petra Klepac, Rosalind M. Eggo, Mark Jit |
X Demographics
The data shown below were collected from the profiles of 16 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 Kingdom | 7 | 44% |
| Costa Rica | 1 | 6% |
| Germany | 1 | 6% |
| Philippines | 1 | 6% |
| United States | 1 | 6% |
| Kenya | 1 | 6% |
| Spain | 1 | 6% |
| Netherlands | 1 | 6% |
| Unknown | 2 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 38% |
| Members of the public | 6 | 38% |
| Practitioners (doctors, other healthcare professionals) | 4 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 93 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 15% |
| Student > Master | 11 | 12% |
| Student > Bachelor | 8 | 9% |
| Other | 6 | 6% |
| Student > Ph. D. Student | 6 | 6% |
| Other | 14 | 15% |
| Unknown | 34 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 14% |
| Social Sciences | 6 | 6% |
| Nursing and Health Professions | 5 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 5% |
| Mathematics | 3 | 3% |
| Other | 21 | 23% |
| Unknown | 40 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 27 June 2023.
All research outputs
#3,749,419
of 25,576,801 outputs
Outputs from BMC Medicine
#2,140
of 4,055 outputs
Outputs of similar age
#93,880
of 426,952 outputs
Outputs of similar age from BMC Medicine
#60
of 97 outputs
Altmetric has tracked 25,576,801 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,055 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.9. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 426,952 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.