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Parametric optimization for surface roughness, kerf and MRR in wire electrical discharge machining (WEDM) using Taguchi design of experiment

Overview of attention for article published in Journal of Mechanical Science and Technology, July 2013
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About this Attention Score

  • Among the highest-scoring outputs from this source (#36 of 231)
  • Average Attention Score compared to outputs of the same age

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
100 Dimensions

Readers on

mendeley
112 Mendeley
Title
Parametric optimization for surface roughness, kerf and MRR in wire electrical discharge machining (WEDM) using Taguchi design of experiment
Published in
Journal of Mechanical Science and Technology, July 2013
DOI 10.1007/s12206-013-0526-8
Authors

Adeel Ikram, Nadeem Ahmad Mufti, Muhammad Qaiser Saleem, Ahmed Raza Khan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 2%
Unknown 110 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 25%
Student > Bachelor 14 13%
Student > Master 10 9%
Professor > Associate Professor 8 7%
Student > Postgraduate 7 6%
Other 24 21%
Unknown 21 19%
Readers by discipline Count As %
Engineering 70 63%
Materials Science 5 4%
Design 3 3%
Business, Management and Accounting 2 2%
Chemical Engineering 2 2%
Other 4 4%
Unknown 26 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 11 August 2013.
All research outputs
#7,967,425
of 23,975,976 outputs
Outputs from Journal of Mechanical Science and Technology
#36
of 231 outputs
Outputs of similar age
#59,197
of 175,278 outputs
Outputs of similar age from Journal of Mechanical Science and Technology
#1
of 2 outputs
Altmetric has tracked 23,975,976 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 231 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 36th percentile – i.e., 36% 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 175,278 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 50% 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