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Dilution and Ferrite Number Prediction in Pulsed Current Cladding of Super-Duplex Stainless Steel Using RSM

Overview of attention for article published in Journal of Materials Engineering and Performance, August 2013
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1 X user

Citations

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24 Dimensions

Readers on

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35 Mendeley
Title
Dilution and Ferrite Number Prediction in Pulsed Current Cladding of Super-Duplex Stainless Steel Using RSM
Published in
Journal of Materials Engineering and Performance, August 2013
DOI 10.1007/s11665-013-0661-5
Authors

Abbas Eghlimi, Morteza Shamanian, Keyvan Raeissi

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

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 29%
Student > Master 8 23%
Lecturer 2 6%
Student > Bachelor 2 6%
Student > Postgraduate 2 6%
Other 2 6%
Unknown 9 26%
Readers by discipline Count As %
Engineering 12 34%
Materials Science 5 14%
Physics and Astronomy 2 6%
Business, Management and Accounting 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 1 3%
Unknown 13 37%
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 24 January 2015.
All research outputs
#16,223,992
of 23,911,072 outputs
Outputs from Journal of Materials Engineering and Performance
#259
of 370 outputs
Outputs of similar age
#125,172
of 201,122 outputs
Outputs of similar age from Journal of Materials Engineering and Performance
#5
of 5 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 370 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 9th percentile – i.e., 9% 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 201,122 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.