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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 474 | 16% |
Brazil | 255 | 8% |
United Kingdom | 166 | 5% |
Chile | 97 | 3% |
Mexico | 71 | 2% |
Spain | 62 | 2% |
India | 57 | 2% |
Canada | 56 | 2% |
France | 56 | 2% |
Other | 503 | 17% |
Unknown | 1223 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2193 | 73% |
Scientists | 613 | 20% |
Practitioners (doctors, other healthcare professionals) | 130 | 4% |
Science communicators (journalists, bloggers, editors) | 83 | 3% |
Unknown | 1 | <1% |
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
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.