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Fine mapping and multidimensional analysis of carbon emission reduction in China

Overview of attention for article published in Frontiers in Ecology and Evolution, May 2023
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Mentioned by

twitter
1 X user

Citations

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1 Dimensions

Readers on

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5 Mendeley
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Title
Fine mapping and multidimensional analysis of carbon emission reduction in China
Published in
Frontiers in Ecology and Evolution, May 2023
DOI 10.3389/fevo.2023.1163308
Authors

Feng Xu, Xinqi Zheng, Minrui Zheng, Dongya Liu, Yin Ma, Tingting Wang, Xu Han

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 20%
Student > Ph. D. Student 1 20%
Unknown 3 60%
Readers by discipline Count As %
Unspecified 1 20%
Energy 1 20%
Unknown 3 60%
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 25 May 2023.
All research outputs
#21,180,380
of 23,842,189 outputs
Outputs from Frontiers in Ecology and Evolution
#3,810
of 4,587 outputs
Outputs of similar age
#151,463
of 194,915 outputs
Outputs of similar age from Frontiers in Ecology and Evolution
#90
of 162 outputs
Altmetric has tracked 23,842,189 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 4,587 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. 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 194,915 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 162 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.