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Uncovering the driving forces of carbon dioxide emissions in Chinese manufacturing industry: An intersectoral analysis

Overview of attention for article published in Environmental Science & Pollution Research, September 2019
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Mentioned by

twitter
1 tweeter

Readers on

mendeley
1 Mendeley
Title
Uncovering the driving forces of carbon dioxide emissions in Chinese manufacturing industry: An intersectoral analysis
Published in
Environmental Science & Pollution Research, September 2019
DOI 10.1007/s11356-019-06303-7
Pubmed ID
Authors

Yingying Shi, Botang Han, Muhammad Wasif Zafar, Zixiang Wei

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Unknown 1 100%
Readers by discipline Count As %
Unknown 1 100%

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 11 September 2019.
All research outputs
#12,395,256
of 14,009,177 outputs
Outputs from Environmental Science & Pollution Research
#2,802
of 4,146 outputs
Outputs of similar age
#210,882
of 254,491 outputs
Outputs of similar age from Environmental Science & Pollution Research
#91
of 143 outputs
Altmetric has tracked 14,009,177 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 4,146 research outputs from this source. They receive a mean Attention Score of 3.1. 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 254,491 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 143 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.