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A new statistical method for detecting trend turning

Overview of attention for article published in Theoretical and Applied Climatology, February 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
4 X users

Citations

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29 Dimensions

Readers on

mendeley
39 Mendeley
Title
A new statistical method for detecting trend turning
Published in
Theoretical and Applied Climatology, February 2019
DOI 10.1007/s00704-019-02817-9
Authors

Bin Zuo, Jianping Li, Cheng Sun, Xin Zhou

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 21%
Researcher 5 13%
Professor > Associate Professor 4 10%
Student > Master 3 8%
Professor 2 5%
Other 3 8%
Unknown 14 36%
Readers by discipline Count As %
Environmental Science 8 21%
Earth and Planetary Sciences 7 18%
Engineering 2 5%
Arts and Humanities 1 3%
Computer Science 1 3%
Other 3 8%
Unknown 17 44%
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 11 November 2022.
All research outputs
#15,350,694
of 24,796,076 outputs
Outputs from Theoretical and Applied Climatology
#1,348
of 1,812 outputs
Outputs of similar age
#197,860
of 359,314 outputs
Outputs of similar age from Theoretical and Applied Climatology
#27
of 35 outputs
Altmetric has tracked 24,796,076 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,812 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 25th percentile – i.e., 25% 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 359,314 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.