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Emerging technologies to measure neighborhood conditions in public health: implications for interventions and next steps

Overview of attention for article published in International Journal of Health Geographics, June 2016
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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 (81st percentile)

Mentioned by

news
1 news outlet
twitter
11 X users
facebook
1 Facebook page

Citations

dimensions_citation
76 Dimensions

Readers on

mendeley
225 Mendeley
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Title
Emerging technologies to measure neighborhood conditions in public health: implications for interventions and next steps
Published in
International Journal of Health Geographics, June 2016
DOI 10.1186/s12942-016-0050-z
Pubmed ID
Authors

M. Schootman, E. J. Nelson, K. Werner, E. Shacham, M. Elliott, K. Ratnapradipa, M. Lian, A. McVay

Abstract

Adverse neighborhood conditions play an important role beyond individual characteristics. There is increasing interest in identifying specific characteristics of the social and built environments adversely affecting health outcomes. Most research has assessed aspects of such exposures via self-reported instruments or census data. Potential threats in the local environment may be subject to short-term changes that can only be measured with more nimble technology. The advent of new technologies may offer new opportunities to obtain geospatial data about neighborhoods that may circumvent the limitations of traditional data sources. This overview describes the utility, validity and reliability of selected emerging technologies to measure neighborhood conditions for public health applications. It also describes next steps for future research and opportunities for interventions. The paper presents an overview of the literature on measurement of the built and social environment in public health (Google Street View, webcams, crowdsourcing, remote sensing, social media, unmanned aerial vehicles, and lifespace) and location-based interventions. Emerging technologies such as Google Street View, social media, drones, webcams, and crowdsourcing may serve as effective and inexpensive tools to measure the ever-changing environment. Georeferenced social media responses may help identify where to target intervention activities, but also to passively evaluate their effectiveness. Future studies should measure exposure across key time points during the life-course as part of the exposome paradigm and integrate various types of data sources to measure environmental contexts. By harnessing these technologies, public health research can not only monitor populations and the environment, but intervene using novel strategies to improve the public health.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 <1%
France 1 <1%
United States 1 <1%
Unknown 221 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 34 15%
Student > Ph. D. Student 30 13%
Researcher 29 13%
Student > Doctoral Student 15 7%
Student > Bachelor 15 7%
Other 46 20%
Unknown 56 25%
Readers by discipline Count As %
Medicine and Dentistry 36 16%
Social Sciences 23 10%
Nursing and Health Professions 15 7%
Computer Science 15 7%
Agricultural and Biological Sciences 11 5%
Other 54 24%
Unknown 71 32%
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 14 May 2017.
All research outputs
#1,752,181
of 22,879,161 outputs
Outputs from International Journal of Health Geographics
#57
of 629 outputs
Outputs of similar age
#34,060
of 352,801 outputs
Outputs of similar age from International Journal of Health Geographics
#2
of 11 outputs
Altmetric has tracked 22,879,161 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 629 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one has done particularly well, scoring higher than 90% 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 352,801 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 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.