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Probabilistic Automatic Outlier Detection for Surface Air Quality Measurements from the China National Environmental Monitoring Network

Overview of attention for article published in Advances in Atmospheric Sciences, October 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
5 news outlets
blogs
1 blog
twitter
3 X users
facebook
1 Facebook page

Citations

dimensions_citation
57 Dimensions

Readers on

mendeley
35 Mendeley
Title
Probabilistic Automatic Outlier Detection for Surface Air Quality Measurements from the China National Environmental Monitoring Network
Published in
Advances in Atmospheric Sciences, October 2018
DOI 10.1007/s00376-018-8067-9
Authors

Huangjian Wu, Xiao Tang, Zifa Wang, Lin Wu, Miaomiao Lu, Lianfang Wei, Jiang Zhu

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 29%
Student > Master 6 17%
Student > Doctoral Student 3 9%
Student > Bachelor 3 9%
Other 2 6%
Other 3 9%
Unknown 8 23%
Readers by discipline Count As %
Engineering 9 26%
Environmental Science 7 20%
Earth and Planetary Sciences 6 17%
Physics and Astronomy 2 6%
Chemical Engineering 1 3%
Other 2 6%
Unknown 8 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 15 November 2018.
All research outputs
#1,012,754
of 25,837,817 outputs
Outputs from Advances in Atmospheric Sciences
#106
of 967 outputs
Outputs of similar age
#21,794
of 364,563 outputs
Outputs of similar age from Advances in Atmospheric Sciences
#1
of 9 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 967 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.4. This one has done well, scoring higher than 88% 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 364,563 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 93% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them