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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, May 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
1689 Dimensions

Readers on

mendeley
2090 Mendeley
Title
The effect of human mobility and control measures on the COVID-19 epidemic in China
Published in
Science, May 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, 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

Twitter Demographics

The data shown below were collected from the profiles of 3,358 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 2,090 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2090 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 282 13%
Student > Ph. D. Student 268 13%
Student > Master 245 12%
Student > Bachelor 179 9%
Other 91 4%
Other 468 22%
Unknown 557 27%
Readers by discipline Count As %
Medicine and Dentistry 189 9%
Engineering 166 8%
Social Sciences 141 7%
Computer Science 102 5%
Agricultural and Biological Sciences 96 5%
Other 714 34%
Unknown 682 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 2535. 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 13 July 2022.
All research outputs
#2,320
of 21,821,479 outputs
Outputs from Science
#139
of 76,943 outputs
Outputs of similar age
#174
of 294,089 outputs
Outputs of similar age from Science
#12
of 932 outputs
Altmetric has tracked 21,821,479 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 76,943 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 60.8. 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 294,089 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 932 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.