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A new Spk-based sample-size tightening sampling system for lot determination

Overview of attention for article published in Quality technology quantitative management, March 2023
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  • Among the highest-scoring outputs from this source (#24 of 107)

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Title
A new Spk-based sample-size tightening sampling system for lot determination
Published in
Quality technology quantitative management, March 2023
DOI 10.1080/16843703.2021.2021617
Authors

Shih-Wen Liu, Zih-Huei Wang

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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 02 June 2023.
All research outputs
#20,887,917
of 23,510,717 outputs
Outputs from Quality technology quantitative management
#24
of 107 outputs
Outputs of similar age
#218,180
of 278,440 outputs
Outputs of similar age from Quality technology quantitative management
#1
of 10 outputs
Altmetric has tracked 23,510,717 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 107 research outputs from this source. They receive a mean Attention Score of 0.5. 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 278,440 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 10 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