↓ Skip to main content

Electric Field Driven Separation of Oil–Water Mixtures: Model Development and Experimental Verification

Overview of attention for article published in Industrial & Engineering Chemistry Research, April 2016
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
30 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Electric Field Driven Separation of Oil–Water Mixtures: Model Development and Experimental Verification
Published in
Industrial & Engineering Chemistry Research, April 2016
DOI 10.1021/acs.iecr.5b03876
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 9 30%
Student > Master 7 23%
Student > Bachelor 3 10%
Professor 2 7%
Student > Postgraduate 2 7%
Other 3 10%
Unknown 4 13%
Readers by discipline
Readers by discipline Count As %
Chemical Engineering 13 43%
Engineering 4 13%
Physics and Astronomy 3 10%
Chemistry 2 7%
Environmental Science 1 3%
Other 3 10%
Unknown 4 13%
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 15 April 2016.
All research outputs
#20,320,000
of 22,862,742 outputs
Outputs from Industrial & Engineering Chemistry Research
#7,149
of 16,957 outputs
Outputs of similar age
#253,390
of 299,054 outputs
Outputs of similar age from Industrial & Engineering Chemistry Research
#62
of 339 outputs
Altmetric has tracked 22,862,742 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 16,957 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 299,054 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 339 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.