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Longitudinal high-frequency ethnographic interviewing to simulate and prepare for intensive smartphone data collection among veterans with homeless experience

Overview of attention for article published in Frontiers in Digital Health, 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 (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
16 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Longitudinal high-frequency ethnographic interviewing to simulate and prepare for intensive smartphone data collection among veterans with homeless experience
Published in
Frontiers in Digital Health, August 2022
DOI 10.3389/fdgth.2022.897288
Pubmed ID
Authors

D. Keith McInnes, Shawn Dunlap, Gemmae M. Fix, Marva V. Foster, Jennifer Conti, Jill S. Roncarati, Justeen K. Hyde

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 12%
Student > Ph. D. Student 4 12%
Unspecified 3 9%
Lecturer 2 6%
Other 1 3%
Other 4 12%
Unknown 16 47%
Readers by discipline Count As %
Medicine and Dentistry 4 12%
Social Sciences 4 12%
Unspecified 3 9%
Psychology 2 6%
Nursing and Health Professions 2 6%
Other 5 15%
Unknown 14 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 07 November 2022.
All research outputs
#3,721,149
of 26,367,306 outputs
Outputs from Frontiers in Digital Health
#140
of 899 outputs
Outputs of similar age
#74,235
of 438,252 outputs
Outputs of similar age from Frontiers in Digital Health
#18
of 86 outputs
Altmetric has tracked 26,367,306 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 899 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has done well, scoring higher than 84% 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 438,252 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 86 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.