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Modeling for Green Supply Chain Evaluation

Overview of attention for article published in Mathematical Problems in Engineering, January 2013
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Mentioned by

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1 X user

Citations

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20 Dimensions

Readers on

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135 Mendeley
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Title
Modeling for Green Supply Chain Evaluation
Published in
Mathematical Problems in Engineering, January 2013
DOI 10.1155/2013/201208
Authors

Elham Falatoonitoosi, Zulkiflle Leman, Shahryar Sorooshian

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 <1%
Unknown 134 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 17%
Student > Ph. D. Student 20 15%
Student > Bachelor 15 11%
Researcher 12 9%
Student > Doctoral Student 10 7%
Other 24 18%
Unknown 31 23%
Readers by discipline Count As %
Business, Management and Accounting 53 39%
Engineering 27 20%
Social Sciences 5 4%
Environmental Science 4 3%
Mathematics 2 1%
Other 9 7%
Unknown 35 26%
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 21 April 2013.
All research outputs
#22,758,309
of 25,371,288 outputs
Outputs from Mathematical Problems in Engineering
#893
of 1,163 outputs
Outputs of similar age
#258,406
of 288,986 outputs
Outputs of similar age from Mathematical Problems in Engineering
#75
of 141 outputs
Altmetric has tracked 25,371,288 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 1,163 research outputs from this source. They receive a mean Attention Score of 2.3. 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 288,986 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 141 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.