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Tri-clustering–based exploration of spatio-temporal heterogeneity of six criteria air pollutants and their relationships in China

Overview of attention for article published in Frontiers in Earth Science, October 2022
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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2 Mendeley
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Title
Tri-clustering–based exploration of spatio-temporal heterogeneity of six criteria air pollutants and their relationships in China
Published in
Frontiers in Earth Science, October 2022
DOI 10.3389/feart.2022.951510
Authors

Xiaojing Wu

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 100%
Readers by discipline Count As %
Environmental Science 1 50%
Computer Science 1 50%
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 18 November 2022.
All research outputs
#20,563,454
of 23,138,859 outputs
Outputs from Frontiers in Earth Science
#3,125
of 4,738 outputs
Outputs of similar age
#353,525
of 445,050 outputs
Outputs of similar age from Frontiers in Earth Science
#189
of 299 outputs
Altmetric has tracked 23,138,859 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,738 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% 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 445,050 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 299 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.