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Introducing a new formula based on an artificial neural network for prediction of droplet size in venturi scrubbers

Overview of attention for article published in Brazilian Journal of Chemical Engineering, October 2012
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Mentioned by

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1 X user

Citations

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7 Dimensions

Readers on

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18 Mendeley
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Title
Introducing a new formula based on an artificial neural network for prediction of droplet size in venturi scrubbers
Published in
Brazilian Journal of Chemical Engineering, October 2012
DOI 10.1590/s0104-66322012000300012
Authors

A. Sharifi, A. Mohebbi

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

Geographical breakdown

Country Count As %
Hong Kong 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 28%
Researcher 4 22%
Unspecified 1 6%
Professor 1 6%
Other 1 6%
Other 2 11%
Unknown 4 22%
Readers by discipline Count As %
Engineering 4 22%
Chemical Engineering 3 17%
Computer Science 2 11%
Unspecified 1 6%
Materials Science 1 6%
Other 1 6%
Unknown 6 33%
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 20 April 2016.
All research outputs
#20,653,708
of 25,371,288 outputs
Outputs from Brazilian Journal of Chemical Engineering
#213
of 239 outputs
Outputs of similar age
#158,336
of 202,162 outputs
Outputs of similar age from Brazilian Journal of Chemical Engineering
#3
of 6 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 239 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 3rd percentile – i.e., 3% 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 202,162 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.