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The effect of human mobility and control measures on the COVID-19 epidemic in China

Overview of attention for article published in Science, March 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Citations

dimensions_citation
2322 Dimensions

Readers on

mendeley
2353 Mendeley
Title
The effect of human mobility and control measures on the COVID-19 epidemic in China
Published in
Science, March 2020
DOI 10.1126/science.abb4218
Pubmed ID
Authors

Moritz U. G. Kraemer, Chia-Hung Yang, Bernardo Gutierrez, Chieh-Hsi Wu, Brennan Klein, David M. Pigott, Open COVID-19 Data Working Group†, Louis du Plessis, Nuno R. Faria, Ruoran Li, William P. Hanage, John S. Brownstein, Maylis Layan, Alessandro Vespignani, Huaiyu Tian, Christopher Dye, Oliver G. Pybus, Samuel V. Scarpino

X Demographics

X Demographics

The data shown below were collected from the profiles of 3,020 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2,353 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2353 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 289 12%
Student > Ph. D. Student 282 12%
Student > Master 261 11%
Student > Bachelor 189 8%
Other 98 4%
Other 478 20%
Unknown 756 32%
Readers by discipline Count As %
Medicine and Dentistry 205 9%
Engineering 177 8%
Social Sciences 149 6%
Computer Science 113 5%
Agricultural and Biological Sciences 98 4%
Other 730 31%
Unknown 881 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2362. 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 09 April 2024.
All research outputs
#3,466
of 25,784,004 outputs
Outputs from Science
#180
of 83,333 outputs
Outputs of similar age
#245
of 394,087 outputs
Outputs of similar age from Science
#16
of 944 outputs
Altmetric has tracked 25,784,004 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 83,333 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.0. 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 394,087 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 944 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 98% of its contemporaries.