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Development of Multiple Linear Regression for Particulate Matter (PM10) Forecasting during Episodic Transboundary Haze Event in Malaysia

Overview of attention for article published in Atmosphere, March 2020
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

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2 X users

Citations

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45 Dimensions

Readers on

mendeley
118 Mendeley
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Title
Development of Multiple Linear Regression for Particulate Matter (PM10) Forecasting during Episodic Transboundary Haze Event in Malaysia
Published in
Atmosphere, March 2020
DOI 10.3390/atmos11030289
Authors

Samsuri Abdullah, Nur Nazmi Liyana Mohd Napi, Ali Najah Ahmed, Wan Nurdiyana Wan Mansor, Amalina Abu Mansor, Marzuki Ismail, Ahmad Makmom Abdullah, Zamzam Tuah Ahmad Ramly

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 118 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 22 19%
Student > Ph. D. Student 16 14%
Student > Master 13 11%
Researcher 7 6%
Other 5 4%
Other 11 9%
Unknown 44 37%
Readers by discipline Count As %
Engineering 23 19%
Environmental Science 14 12%
Mathematics 7 6%
Earth and Planetary Sciences 4 3%
Computer Science 3 3%
Other 18 15%
Unknown 49 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 March 2022.
All research outputs
#16,057,393
of 25,387,668 outputs
Outputs from Atmosphere
#1,179
of 3,962 outputs
Outputs of similar age
#223,848
of 392,347 outputs
Outputs of similar age from Atmosphere
#74
of 205 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,962 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 66% 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 392,347 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 205 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 59% of its contemporaries.