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A Novel Approach To Quantify Scale Thickness and Distribution in Stirred Vessels

Overview of attention for article published in Industrial & Engineering Chemistry Research, November 2017
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Mentioned by

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1 tweeter

Citations

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3 Dimensions

Readers on

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2 Mendeley
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Title
A Novel Approach To Quantify Scale Thickness and Distribution in Stirred Vessels
Published in
Industrial & Engineering Chemistry Research, November 2017
DOI 10.1021/acs.iecr.7b03543
Authors

Meysam Davoody, Lachlan J.W. Graham, Jie Wu, Inju Youn, Abdul Aziz Abdul Raman, Rajarathinam Parthasarathy

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 50%
Professor > Associate Professor 1 50%
Readers by discipline Count As %
Chemical Engineering 2 100%

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 30 November 2017.
All research outputs
#10,837,491
of 12,225,951 outputs
Outputs from Industrial & Engineering Chemistry Research
#4,264
of 9,882 outputs
Outputs of similar age
#281,963
of 339,294 outputs
Outputs of similar age from Industrial & Engineering Chemistry Research
#13
of 26 outputs
Altmetric has tracked 12,225,951 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 9,882 research outputs from this source. They receive a mean Attention Score of 1.6. 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 339,294 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 26 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.