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Prevalence and predicting factors of perceived stress among Bangladeshi university students using machine learning algorithms

Overview of attention for article published in Journal of Health, Population and Nutrition, November 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
128 Mendeley
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Title
Prevalence and predicting factors of perceived stress among Bangladeshi university students using machine learning algorithms
Published in
Journal of Health, Population and Nutrition, November 2021
DOI 10.1186/s41043-021-00276-5
Pubmed ID
Authors

Rumana Rois, Manik Ray, Atikur Rahman, Swapan K. Roy

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 128 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 7 5%
Unspecified 6 5%
Student > Ph. D. Student 6 5%
Researcher 6 5%
Student > Bachelor 6 5%
Other 15 12%
Unknown 82 64%
Readers by discipline Count As %
Computer Science 8 6%
Nursing and Health Professions 8 6%
Psychology 6 5%
Engineering 4 3%
Medicine and Dentistry 4 3%
Other 12 9%
Unknown 86 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 12 January 2022.
All research outputs
#6,602,824
of 25,392,582 outputs
Outputs from Journal of Health, Population and Nutrition
#148
of 622 outputs
Outputs of similar age
#137,469
of 514,723 outputs
Outputs of similar age from Journal of Health, Population and Nutrition
#3
of 7 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 622 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has gotten more attention than average, scoring higher than 73% 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 514,723 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 72% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.