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Government innovation support for green development efficiency in China: A regional analysis of key factors based on the dynamic GMM model

Overview of attention for article published in Frontiers in Environmental Science, September 2022
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Mentioned by

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1 X user

Citations

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7 Dimensions

Readers on

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11 Mendeley
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Title
Government innovation support for green development efficiency in China: A regional analysis of key factors based on the dynamic GMM model
Published in
Frontiers in Environmental Science, September 2022
DOI 10.3389/fenvs.2022.995984
Authors

Shoukat Iqbal Khattak, Muhammad Kamran Khan, Taipeng Sun, Uzma Khan, Xiaoman Wang, Yating Niu

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 18%
Lecturer 2 18%
Professor > Associate Professor 1 9%
Student > Doctoral Student 1 9%
Unknown 5 45%
Readers by discipline Count As %
Business, Management and Accounting 2 18%
Social Sciences 2 18%
Economics, Econometrics and Finance 1 9%
Unknown 6 55%
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 30 October 2022.
All research outputs
#20,450,513
of 23,006,268 outputs
Outputs from Frontiers in Environmental Science
#1,994
of 3,332 outputs
Outputs of similar age
#345,224
of 435,143 outputs
Outputs of similar age from Frontiers in Environmental Science
#252
of 457 outputs
Altmetric has tracked 23,006,268 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 3,332 research outputs from this source. They receive a mean Attention Score of 4.7. 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 435,143 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 457 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.