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Decoupling analysis and peak prediction of carbon emission in less developed provinces: A case study of Sichuan province, China

Overview of attention for article published in Greenhouse Gases: Science and Technology, February 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#35 of 209)
  • High Attention Score compared to outputs of the same age (85th percentile)

Mentioned by

blogs
1 blog

Readers on

mendeley
4 Mendeley
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Title
Decoupling analysis and peak prediction of carbon emission in less developed provinces: A case study of Sichuan province, China
Published in
Greenhouse Gases: Science and Technology, February 2023
DOI 10.1002/ghg.2200
Authors

Lu Chen, Xin Li, Lu Liu, Bei Sun, Xinyi Hu, Minxi Wang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 25%
Student > Doctoral Student 1 25%
Unknown 2 50%
Readers by discipline Count As %
Unspecified 1 25%
Mathematics 1 25%
Unknown 2 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 16 February 2023.
All research outputs
#3,379,754
of 23,372,207 outputs
Outputs from Greenhouse Gases: Science and Technology
#35
of 209 outputs
Outputs of similar age
#53,914
of 372,669 outputs
Outputs of similar age from Greenhouse Gases: Science and Technology
#1
of 5 outputs
Altmetric has tracked 23,372,207 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 209 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 38th percentile – i.e., 38% 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 372,669 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 5 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