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The transformative potential of blockchain technology in developing green supply chain: An evolutionary perspective on complex networks

Overview of attention for article published in Computers & Industrial Engineering, November 2024
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 882)
  • High Attention Score compared to outputs of the same age (96th percentile)

Mentioned by

twitter
27 X users

Readers on

mendeley
12 Mendeley
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Title
The transformative potential of blockchain technology in developing green supply chain: An evolutionary perspective on complex networks
Published in
Computers & Industrial Engineering, November 2024
DOI 10.1016/j.cie.2024.110548
Authors

Ting Yang, Chaoqun Ma, Xianhua Mi

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 27 X users 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 9 75%
Lecturer 1 8%
Unknown 2 17%
Readers by discipline Count As %
Unspecified 9 75%
Engineering 1 8%
Unknown 2 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 10 September 2024.
All research outputs
#1,688,563
of 26,617,918 outputs
Outputs from Computers & Industrial Engineering
#9
of 882 outputs
Outputs of similar age
#342
of 8,644 outputs
Outputs of similar age from Computers & Industrial Engineering
#1
of 2 outputs
Altmetric has tracked 26,617,918 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 882 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done particularly well, scoring higher than 98% of its peers.
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 8,644 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 2 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