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The effect of travel restrictions on the geographical spread of COVID-19 between large cities in China: a modelling study

Overview of attention for article published in BMC Medicine, August 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)

Mentioned by

twitter
15 tweeters

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
74 Mendeley
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, Jon C. Emery, Megan Auzenbergs, Nicholas Davies, Emily S. Nightingale, Kevin van Zandvoort, Thibaut Jombart, Arminder K. Deol, W. John Edmunds, Joel Hellewell, Sebastian Funk, Sam Abbott, Fiona Sun, Akira Endo, Alicia Rosello, Amy Gimma, Simon R. Procter, Nikos I. Bosse, Kathleen O’Reilly, Graham Medley, James D. Munday, Rein M. G. J. Houben, Adam J. Kucharski, Gwenan M. Knight, Petra Klepac, Rosalind M. Eggo, Mark Jit

Twitter Demographics

The data shown below were collected from the profiles of 15 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 16%
Student > Master 9 12%
Student > Bachelor 8 11%
Student > Ph. D. Student 6 8%
Other 6 8%
Other 10 14%
Unknown 23 31%
Readers by discipline Count As %
Medicine and Dentistry 12 16%
Social Sciences 5 7%
Mathematics 4 5%
Pharmacology, Toxicology and Pharmaceutical Science 4 5%
Nursing and Health Professions 3 4%
Other 20 27%
Unknown 26 35%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 22 January 2021.
All research outputs
#2,194,655
of 18,763,108 outputs
Outputs from BMC Medicine
#1,426
of 2,814 outputs
Outputs of similar age
#57,786
of 308,161 outputs
Outputs of similar age from BMC Medicine
#1
of 1 outputs
Altmetric has tracked 18,763,108 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,814 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.5. This one is in the 49th percentile – i.e., 49% 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 308,161 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 81% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them