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A multi-stage satisfaction index estimation model integrating structural equation modeling and mathematical programming

Overview of attention for article published in Journal of Intelligent Manufacturing, November 2015
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1 X user

Citations

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5 Dimensions

Readers on

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19 Mendeley
Title
A multi-stage satisfaction index estimation model integrating structural equation modeling and mathematical programming
Published in
Journal of Intelligent Manufacturing, November 2015
DOI 10.1007/s10845-015-1166-x
Authors

Adnan Aktepe, Süleyman Ersöz, Bilal Toklu

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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 21%
Other 2 11%
Professor 2 11%
Researcher 2 11%
Student > Ph. D. Student 2 11%
Other 1 5%
Unknown 6 32%
Readers by discipline Count As %
Business, Management and Accounting 3 16%
Engineering 2 11%
Arts and Humanities 1 5%
Nursing and Health Professions 1 5%
Environmental Science 1 5%
Other 2 11%
Unknown 9 47%
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 14 November 2015.
All research outputs
#18,430,119
of 22,832,057 outputs
Outputs from Journal of Intelligent Manufacturing
#357
of 558 outputs
Outputs of similar age
#204,668
of 284,834 outputs
Outputs of similar age from Journal of Intelligent Manufacturing
#5
of 5 outputs
Altmetric has tracked 22,832,057 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 558 research outputs from this source. They receive a mean Attention Score of 1.5. This one is in the 31st percentile – i.e., 31% 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 284,834 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.