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Euler-Euler granular flow model of liquid fuels combustion in a fluidized reactor

Overview of attention for article published in Journal of the Serbian Chemical Society, January 2015
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Mentioned by

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1 Facebook page

Citations

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3 Dimensions

Readers on

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12 Mendeley
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Title
Euler-Euler granular flow model of liquid fuels combustion in a fluidized reactor
Published in
Journal of the Serbian Chemical Society, January 2015
DOI 10.2298/jsc140130029n
Authors

Stevan Nemoda, Milica Mladenovic, Milijana Paprika, Dragoljub Dakic, Aleksandar Eric, Mirko Komatina

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 25%
Professor > Associate Professor 2 17%
Unspecified 1 8%
Student > Bachelor 1 8%
Student > Master 1 8%
Other 0 0%
Unknown 4 33%
Readers by discipline Count As %
Chemical Engineering 2 17%
Energy 2 17%
Engineering 2 17%
Biochemistry, Genetics and Molecular Biology 1 8%
Materials Science 1 8%
Other 1 8%
Unknown 3 25%
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 02 April 2015.
All research outputs
#20,269,439
of 22,800,560 outputs
Outputs from Journal of the Serbian Chemical Society
#119
of 224 outputs
Outputs of similar age
#295,797
of 353,066 outputs
Outputs of similar age from Journal of the Serbian Chemical Society
#3
of 105 outputs
Altmetric has tracked 22,800,560 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 224 research outputs from this source. They receive a mean Attention Score of 2.0. 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 353,066 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 105 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.