Title |
An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China
|
---|---|
Published in |
Science, March 2020
|
DOI | 10.1126/science.abb6105 |
Pubmed ID | |
Authors |
Huaiyu Tian, Yonghong Liu, Yidan Li, Chieh-Hsi Wu, Bin Chen, Moritz U G Kraemer, Bingying Li, Jun Cai, Bo Xu, Qiqi Yang, Ben Wang, Peng Yang, Yujun Cui, Yimeng Song, Pai Zheng, Quanyi Wang, Ottar N Bjornstad, Ruifu Yang, Bryan T Grenfell, Oliver G Pybus, Christopher Dye |
X Demographics
The data shown below were collected from the profiles of 1,640 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 | 212 | 13% |
China | 109 | 7% |
United Kingdom | 50 | 3% |
Pakistan | 29 | 2% |
Canada | 25 | 2% |
Brazil | 24 | 1% |
France | 22 | 1% |
Australia | 22 | 1% |
Japan | 21 | 1% |
Other | 270 | 16% |
Unknown | 856 | 52% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1427 | 87% |
Scientists | 146 | 9% |
Practitioners (doctors, other healthcare professionals) | 34 | 2% |
Science communicators (journalists, bloggers, editors) | 32 | 2% |
Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,377 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1377 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 191 | 14% |
Student > Master | 160 | 12% |
Student > Ph. D. Student | 150 | 11% |
Student > Bachelor | 88 | 6% |
Student > Doctoral Student | 61 | 4% |
Other | 260 | 19% |
Unknown | 467 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 153 | 11% |
Social Sciences | 75 | 5% |
Agricultural and Biological Sciences | 66 | 5% |
Environmental Science | 64 | 5% |
Engineering | 64 | 5% |
Other | 421 | 31% |
Unknown | 534 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1917. 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 28 December 2023.
All research outputs
#5,026
of 25,593,129 outputs
Outputs from Science
#278
of 83,123 outputs
Outputs of similar age
#337
of 397,267 outputs
Outputs of similar age from Science
#24
of 944 outputs
Altmetric has tracked 25,593,129 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 83,123 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 65.8. 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 397,267 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 97% of its contemporaries.