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Online Prediction of Hot Metal Temperature Using Transient Model and Moving Horizon Estimation

Overview of attention for article published in ISIJ International, September 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

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Citations

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9 Dimensions

Readers on

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9 Mendeley
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Title
Online Prediction of Hot Metal Temperature Using Transient Model and Moving Horizon Estimation
Published in
ISIJ International, September 2019
DOI 10.2355/isijinternational.isijint-2019-101
Authors

Yoshinari Hashimoto, Yoshitaka Sawa, Manabu Kano

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 22%
Student > Ph. D. Student 2 22%
Student > Doctoral Student 1 11%
Student > Master 1 11%
Unknown 3 33%
Readers by discipline Count As %
Engineering 5 56%
Chemical Engineering 1 11%
Unknown 3 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 21 October 2020.
All research outputs
#6,475,069
of 23,243,271 outputs
Outputs from ISIJ International
#87
of 447 outputs
Outputs of similar age
#114,713
of 340,616 outputs
Outputs of similar age from ISIJ International
#1
of 2 outputs
Altmetric has tracked 23,243,271 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 447 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 80% of its peers.
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 340,616 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 66% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them