| Title |
Airborne particulate matter, population mobility and COVID-19: a multi-city study in China
|
|---|---|
| Published in |
BMC Public Health, October 2020
|
| DOI | 10.1186/s12889-020-09669-3 |
| Pubmed ID | |
| Authors |
Bo Wang, Jiangtao Liu, Yanlin Li, Shihua Fu, Xiaocheng Xu, Lanyu Li, Ji Zhou, Xingrong Liu, Xiaotao He, Jun Yan, Yanjun Shi, Jingping Niu, Yong Yang, Yiyao Li, Bin Luo, Kai Zhang |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Slovenia | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 128 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 28 | 22% |
| Student > Bachelor | 12 | 9% |
| Student > Master | 11 | 9% |
| Student > Ph. D. Student | 10 | 8% |
| Other | 7 | 5% |
| Other | 19 | 15% |
| Unknown | 41 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 15 | 12% |
| Medicine and Dentistry | 13 | 10% |
| Nursing and Health Professions | 10 | 8% |
| Agricultural and Biological Sciences | 5 | 4% |
| Computer Science | 5 | 4% |
| Other | 31 | 24% |
| Unknown | 49 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 30 June 2021.
All research outputs
#3,747,090
of 25,186,033 outputs
Outputs from BMC Public Health
#4,464
of 16,836 outputs
Outputs of similar age
#90,950
of 427,706 outputs
Outputs of similar age from BMC Public Health
#96
of 326 outputs
Altmetric has tracked 25,186,033 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,836 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has gotten more attention than average, scoring higher than 73% 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 427,706 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 326 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.