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Investigation of dissimilar laser welding of stainless steel 304 and copper using the artificial neural network model

Overview of attention for article published in Journal of Laser Applications, May 2021
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Mentioned by

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1 tweeter

Citations

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1 Dimensions

Readers on

mendeley
1 Mendeley
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Title
Investigation of dissimilar laser welding of stainless steel 304 and copper using the artificial neural network model
Published in
Journal of Laser Applications, May 2021
DOI 10.2351/7.0000370
Authors

Ebrahem A. Algehyne, Tareq Saeed, Muhammad Ibrahim, Abdallah S. Berrouk, Yu-Ming Chu

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Unknown 1 100%
Readers by discipline Count As %
Unknown 1 100%

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 29 June 2021.
All research outputs
#16,771,949
of 18,964,669 outputs
Outputs from Journal of Laser Applications
#187
of 780 outputs
Outputs of similar age
#272,681
of 342,701 outputs
Outputs of similar age from Journal of Laser Applications
#10
of 26 outputs
Altmetric has tracked 18,964,669 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 780 research outputs from this source. They receive a mean Attention Score of 1.3. 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 342,701 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 26 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.