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Pattern-Based Clustering of Daily Weigh-In Trajectories Using Dynamic Time Warping

Overview of attention for article published in Biometrics, October 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

q&a
1 Q&A thread

Readers on

mendeley
18 Mendeley
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Article details
Title
Pattern-Based Clustering of Daily Weigh-In Trajectories Using Dynamic Time Warping
Published in
Biometrics, October 2022
DOI 10.1111/biom.13773
Pubmed ID
Authors

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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 5 28%
Unspecified 1 6%
Student > Bachelor 1 6%
Researcher 1 6%
Unknown 10 56%
Readers by discipline
Readers by discipline Count As %
Arts and Humanities 1 6%
Unspecified 1 6%
Computer Science 1 6%
Earth and Planetary Sciences 1 6%
Chemistry 1 6%
Other 1 6%
Unknown 12 67%
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 05 February 2024.
All research outputs
#17,354,682
of 29,224,081 outputs
Outputs from Biometrics
#1,363
of 2,277 outputs
Outputs of similar age
#189,998
of 450,413 outputs
Outputs of similar age from Biometrics
#7
of 30 outputs
Altmetric has tracked 29,224,081 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,277 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 37th percentile – i.e., 37% 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 450,413 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 56% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.