| Title |
Epidemiological analysis of 67 local COVID-19 clusters in Sichuan Province, China
|
|---|---|
| Published in |
BMC Public Health, October 2020
|
| DOI | 10.1186/s12889-020-09606-4 |
| Pubmed ID | |
| Authors |
Suling Mao, Ting Huang, Heng Yuan, Min Li, Xiaomei Huang, Changxiao Yang, Xingyu Zhou, Xiuwei Cheng, Qian Su, Xianping Wu |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 16% |
| Researcher | 9 | 13% |
| Other | 5 | 7% |
| Student > Bachelor | 5 | 7% |
| Professor | 4 | 6% |
| Other | 8 | 12% |
| Unknown | 26 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 19% |
| Nursing and Health Professions | 9 | 13% |
| Psychology | 3 | 4% |
| Agricultural and Biological Sciences | 2 | 3% |
| Social Sciences | 2 | 3% |
| Other | 13 | 19% |
| Unknown | 26 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 24 October 2020.
All research outputs
#15,642,530
of 23,253,955 outputs
Outputs from BMC Public Health
#11,570
of 15,172 outputs
Outputs of similar age
#256,830
of 415,420 outputs
Outputs of similar age from BMC Public Health
#220
of 314 outputs
Altmetric has tracked 23,253,955 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,172 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one is in the 16th percentile – i.e., 16% 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 415,420 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 314 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.