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Application of Vapor Recompression to Heterogeneous Azeotropic Dividing-Wall Distillation Columns

Overview of attention for article published in Industrial & Engineering Chemistry Research, November 2015
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31 Mendeley
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Article details
Title
Application of Vapor Recompression to Heterogeneous Azeotropic Dividing-Wall Distillation Columns
Published in
Industrial & Engineering Chemistry Research, November 2015
DOI 10.1021/acs.iecr.5b02929
Authors

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Timeline Attention over time Attention Score history
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 31 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 %
Iran, Islamic Republic of 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 5 16%
Professor 4 13%
Researcher 3 10%
Student > Bachelor 2 6%
Student > Ph. D. Student 2 6%
Other 1 3%
Unknown 14 45%
Readers by discipline
Readers by discipline Count As %
Chemical Engineering 9 29%
Engineering 4 13%
Energy 1 3%
Chemistry 1 3%
Unknown 16 52%
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 11 November 2015.
All research outputs
#20,296,405
of 22,833,393 outputs
Outputs from Industrial & Engineering Chemistry Research
#7,143
of 16,942 outputs
Outputs of similar age
#236,681
of 282,576 outputs
Outputs of similar age from Industrial & Engineering Chemistry Research
#50
of 322 outputs
Altmetric has tracked 22,833,393 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 16,942 research outputs from this source. They receive a mean Attention Score of 1.7. 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 282,576 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 322 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.