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Particulate matter (PM10) prediction based on multiple linear regression: a case study in Chiang Rai Province, Thailand

Overview of attention for article published in BMC Public Health, November 2021
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1 X user

Citations

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4 Dimensions

Readers on

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33 Mendeley
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Title
Particulate matter (PM10) prediction based on multiple linear regression: a case study in Chiang Rai Province, Thailand
Published in
BMC Public Health, November 2021
DOI 10.1186/s12889-021-12217-2
Pubmed ID
Authors

Wissanupong Kliengchuay, Rachodbun Srimanus, Wechapraan Srimanus, Sarima Niampradit, Nopadol Preecha, Rachaneekorn Mingkhwan, Suwalee Worakhunpiset, Yanin Limpanont, Kamontat Moonsri, Kraichat Tantrakarnapa

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 12%
Researcher 3 9%
Lecturer 2 6%
Student > Ph. D. Student 2 6%
Other 1 3%
Other 4 12%
Unknown 17 52%
Readers by discipline Count As %
Environmental Science 5 15%
Engineering 4 12%
Social Sciences 2 6%
Unspecified 1 3%
Psychology 1 3%
Other 3 9%
Unknown 17 52%
Attention Score in Context

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 05 January 2022.
All research outputs
#18,420,033
of 22,818,766 outputs
Outputs from BMC Public Health
#12,852
of 14,866 outputs
Outputs of similar age
#358,801
of 501,611 outputs
Outputs of similar age from BMC Public Health
#280
of 357 outputs
Altmetric has tracked 22,818,766 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,866 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 6th percentile – i.e., 6% 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 501,611 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 357 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.