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Leading dietary determinants identified using machine learning techniques and a healthy diet score for changes in cardiometabolic risk factors in children: a longitudinal analysis

Overview of attention for article published in Nutrition Journal, September 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
26 X users
reddit
1 Redditor

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
66 Mendeley
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Title
Leading dietary determinants identified using machine learning techniques and a healthy diet score for changes in cardiometabolic risk factors in children: a longitudinal analysis
Published in
Nutrition Journal, September 2020
DOI 10.1186/s12937-020-00611-2
Pubmed ID
Authors

Xianwen Shang, Yanping Li, Haiquan Xu, Qian Zhang, Ailing Liu, Songming Du, Hongwei Guo, Guansheng Ma

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 18%
Student > Bachelor 6 9%
Other 3 5%
Student > Postgraduate 3 5%
Researcher 3 5%
Other 7 11%
Unknown 32 48%
Readers by discipline Count As %
Nursing and Health Professions 10 15%
Medicine and Dentistry 6 9%
Computer Science 3 5%
Psychology 3 5%
Agricultural and Biological Sciences 1 2%
Other 10 15%
Unknown 33 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 09 November 2022.
All research outputs
#2,734,270
of 25,494,370 outputs
Outputs from Nutrition Journal
#601
of 1,526 outputs
Outputs of similar age
#70,532
of 430,168 outputs
Outputs of similar age from Nutrition Journal
#11
of 41 outputs
Altmetric has tracked 25,494,370 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,526 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.6. This one has gotten more attention than average, scoring higher than 60% of its peers.
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 430,168 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 41 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 73% of its contemporaries.