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Optimal decisions of closed-loop supply chain under government recycling subsidy and value co-creation

Overview of attention for article published in Frontiers in Energy Research, November 2023
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1 X user

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24 Mendeley
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Title
Optimal decisions of closed-loop supply chain under government recycling subsidy and value co-creation
Published in
Frontiers in Energy Research, November 2023
DOI 10.3389/fenrg.2023.1308800
Authors

Bifeng Liao, Yuanchao Shang, Yangyi Sun

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 5 21%
Lecturer > Senior Lecturer 3 13%
Student > Ph. D. Student 2 8%
Lecturer 1 4%
Researcher 1 4%
Other 1 4%
Unknown 11 46%
Readers by discipline Count As %
Business, Management and Accounting 6 25%
Unspecified 5 21%
Economics, Econometrics and Finance 1 4%
Unknown 12 50%
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 November 2023.
All research outputs
#22,288,560
of 24,874,764 outputs
Outputs from Frontiers in Energy Research
#1,498
of 4,269 outputs
Outputs of similar age
#135,185
of 170,773 outputs
Outputs of similar age from Frontiers in Energy Research
#65
of 159 outputs
Altmetric has tracked 24,874,764 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 4,269 research outputs from this source. They receive a mean Attention Score of 1.6. 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 170,773 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 159 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.