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Determining Optimum Water Content for Iron Ore Granulation using Agitation Torque of Wet Ore Powder

Overview of attention for article published in ISIJ International, July 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

Mentioned by

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2 X users

Citations

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5 Dimensions

Readers on

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4 Mendeley
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Title
Determining Optimum Water Content for Iron Ore Granulation using Agitation Torque of Wet Ore Powder
Published in
ISIJ International, July 2022
DOI 10.2355/isijinternational.isijint-2022-009
Authors

Tomotaka Otsu, Hideya Nakamura, Shuji Ohsaki, Satoru Watano, Shohei Fujiwara, Takahide Higuchi

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 25%
Unknown 3 75%
Readers by discipline Count As %
Engineering 1 25%
Unknown 3 75%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 March 2022.
All research outputs
#15,485,623
of 25,852,155 outputs
Outputs from ISIJ International
#445
of 489 outputs
Outputs of similar age
#196,323
of 436,232 outputs
Outputs of similar age from ISIJ International
#2
of 3 outputs
Altmetric has tracked 25,852,155 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 489 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 8th percentile – i.e., 8% 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 436,232 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.