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Big data analytics as an operational excellence approach to enhance sustainable supply chain performance

Overview of attention for article published in Resources, Conservation & Recycling, February 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

policy
1 policy source
twitter
4 X users

Readers on

mendeley
1824 Mendeley
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Article details
Title
Big data analytics as an operational excellence approach to enhance sustainable supply chain performance
Published in
Resources, Conservation & Recycling, February 2020
DOI 10.1016/j.resconrec.2019.104559
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 1,824 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 1824 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 125 7%
Student > Master 110 6%
Lecturer 100 5%
Student > Bachelor 79 4%
Student > Doctoral Student 74 4%
Other 248 14%
Unknown 1088 60%
Readers by discipline
Readers by discipline Count As %
Business, Management and Accounting 330 18%
Engineering 125 7%
Computer Science 58 3%
Economics, Econometrics and Finance 51 3%
Social Sciences 39 2%
Other 122 7%
Unknown 1099 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 16 October 2023.
All research outputs
#9,607,834
of 34,404,538 outputs
Outputs from Resources, Conservation & Recycling
#1,210
of 3,526 outputs
Outputs of similar age
#146,190
of 516,144 outputs
Outputs of similar age from Resources, Conservation & Recycling
#28
of 103 outputs
Altmetric has tracked 34,404,538 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 3,526 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one has gotten more attention than average, scoring higher than 64% 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 516,144 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.