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Prevalence, increase and predictors of family violence during the COVID-19 pandemic, using modern machine learning approaches

Overview of attention for article published in Frontiers in Psychiatry, August 2022
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
1 news outlet
twitter
4 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
72 Mendeley
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Title
Prevalence, increase and predictors of family violence during the COVID-19 pandemic, using modern machine learning approaches
Published in
Frontiers in Psychiatry, August 2022
DOI 10.3389/fpsyt.2022.883294
Pubmed ID
Authors

Kristina Todorovic, Erin O’Leary, Kaitlin P. Ward, Pratyush P. Devarasetty, Shawna J. Lee, Michele Knox, Elissar Andari

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 14%
Student > Postgraduate 5 7%
Researcher 4 6%
Student > Bachelor 4 6%
Other 3 4%
Other 11 15%
Unknown 35 49%
Readers by discipline Count As %
Social Sciences 10 14%
Psychology 10 14%
Nursing and Health Professions 4 6%
Unspecified 3 4%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 7 10%
Unknown 36 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 20 February 2023.
All research outputs
#2,793,788
of 23,394,907 outputs
Outputs from Frontiers in Psychiatry
#1,491
of 10,510 outputs
Outputs of similar age
#58,192
of 433,527 outputs
Outputs of similar age from Frontiers in Psychiatry
#46
of 819 outputs
Altmetric has tracked 23,394,907 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,510 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 85% 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 433,527 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 86% of its contemporaries.
We're also able to compare this research output to 819 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.