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X Demographics
Mendeley readers
Attention Score in Context
Title |
Global estimates of daily ambient fine particulate matter concentrations and unequal spatiotemporal distribution of population exposure: a machine learning modelling study
|
---|---|
Published in |
The Lancet Planetary Health, March 2023
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DOI | 10.1016/s2542-5196(23)00008-6 |
Pubmed ID | |
Authors |
Wenhua Yu, Tingting Ye, Yiwen Zhang, Rongbin Xu, Yadong Lei, Zhuying Chen, Zhengyu Yang, Yuxi Zhang, Jiangning Song, Xu Yue, Shanshan Li, Yuming Guo |
X Demographics
The data shown below were collected from the profiles of 158 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 13 | 8% |
Spain | 13 | 8% |
France | 11 | 7% |
United States | 11 | 7% |
Australia | 8 | 5% |
United Kingdom | 5 | 3% |
Thailand | 4 | 3% |
Mexico | 3 | 2% |
Germany | 3 | 2% |
Other | 17 | 11% |
Unknown | 70 | 44% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 130 | 82% |
Scientists | 25 | 16% |
Practitioners (doctors, other healthcare professionals) | 2 | 1% |
Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 84 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 13 | 15% |
Student > Master | 9 | 11% |
Student > Ph. D. Student | 6 | 7% |
Professor | 5 | 6% |
Professor > Associate Professor | 4 | 5% |
Other | 15 | 18% |
Unknown | 32 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Environmental Science | 17 | 20% |
Medicine and Dentistry | 5 | 6% |
Nursing and Health Professions | 4 | 5% |
Biochemistry, Genetics and Molecular Biology | 3 | 4% |
Earth and Planetary Sciences | 3 | 4% |
Other | 20 | 24% |
Unknown | 32 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1392. 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 21 January 2024.
All research outputs
#9,180
of 25,779,988 outputs
Outputs from The Lancet Planetary Health
#21
of 1,014 outputs
Outputs of similar age
#274
of 425,153 outputs
Outputs of similar age from The Lancet Planetary Health
#3
of 34 outputs
Altmetric has tracked 25,779,988 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 1,014 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 143.9. This one has done particularly well, scoring higher than 97% 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 425,153 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 34 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 91% of its contemporaries.