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Disaggregating the data: Diversity of COVID-19 stressors, discrimination, and mental health among Asian American communities

Overview of attention for article published in Frontiers in Public Health, October 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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
1 news outlet
twitter
10 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
14 Mendeley
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Title
Disaggregating the data: Diversity of COVID-19 stressors, discrimination, and mental health among Asian American communities
Published in
Frontiers in Public Health, October 2022
DOI 10.3389/fpubh.2022.956076
Pubmed ID
Authors

Sumie Okazaki, Christina Seowoo Lee, Aakriti Prasai, Doris F. Chang, Nari Yoo

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 14%
Student > Bachelor 1 7%
Lecturer 1 7%
Professor > Associate Professor 1 7%
Researcher 1 7%
Other 0 0%
Unknown 8 57%
Readers by discipline Count As %
Social Sciences 2 14%
Arts and Humanities 1 7%
Psychology 1 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Unknown 9 64%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 19 April 2024.
All research outputs
#2,109,140
of 25,784,004 outputs
Outputs from Frontiers in Public Health
#1,012
of 14,417 outputs
Outputs of similar age
#44,113
of 443,075 outputs
Outputs of similar age from Frontiers in Public Health
#62
of 1,533 outputs
Altmetric has tracked 25,784,004 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,417 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 particularly well, scoring higher than 92% 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 443,075 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 1,533 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 95% of its contemporaries.