↓ Skip to main content

Real-time profile monitoring schemes considering covariates using Gaussian process via sensor data

Overview of attention for article published in Quality technology quantitative management, January 2023
Altmetric Badge

About this Attention Score

  • Among the highest-scoring outputs from this source (#24 of 119)

Mentioned by

twitter
1 X user

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
2 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Real-time profile monitoring schemes considering covariates using Gaussian process via sensor data
Published in
Quality technology quantitative management, January 2023
DOI 10.1080/16843703.2023.2165284
Authors

Ning Ding, Zhen He, Shuguang He, Lisha Song

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 50%
Unknown 1 50%
Readers by discipline Count As %
Decision Sciences 1 50%
Unknown 1 50%
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 2023.
All research outputs
#23,501,977
of 26,180,771 outputs
Outputs from Quality technology quantitative management
#24
of 119 outputs
Outputs of similar age
#417,399
of 485,710 outputs
Outputs of similar age from Quality technology quantitative management
#1
of 14 outputs
Altmetric has tracked 26,180,771 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 119 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 485,710 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 14 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.