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Urban Health Indicator Tools of the Physical Environment: a Systematic Review

Overview of attention for article published in Journal of Urban Health, April 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

policy
1 policy source
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75 X users

Citations

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67 Dimensions

Readers on

mendeley
254 Mendeley
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1 CiteULike
Title
Urban Health Indicator Tools of the Physical Environment: a Systematic Review
Published in
Journal of Urban Health, April 2018
DOI 10.1007/s11524-018-0228-8
Pubmed ID
Authors

Helen Pineo, Ketevan Glonti, Harry Rutter, Nici Zimmermann, Paul Wilkinson, Michael Davies

Abstract

Urban health indicator (UHI) tools provide evidence about the health impacts of the physical urban environment which can be used in built environment policy and decision-making. Where UHI tools provide data at the neighborhood (and lower) scale they can provide valuable information about health inequalities and environmental deprivation. This review performs a census of UHI tools and explores their nature and characteristics (including how they represent, simplify or address complex systems) to increase understanding of their potential use by municipal built environment policy and decision-makers. We searched seven bibliographic databases, four key journals and six practitioner websites and conducted Google searches between January 27, 2016 and February 24, 2016 for UHI tools. We extracted data from primary studies and online indicator systems. We included 198 documents which identified 145 UHI tools comprising 8006 indicators, from which we developed a taxonomy. Our taxonomy classifies the significant diversity of UHI tools with respect to topic, spatial scale, format, scope and purpose. The proportions of UHI tools which measure data at the neighborhood and lower scale, and present data via interactive maps, have both increased over time. This is particularly relevant to built environment policy and decision-makers, reflects growing analytical capability and offers the potential for improved understanding of the complexity of influences on urban health (an aspect noted as a particular challenge by some indicator producers). The relation between urban health indicators and health impacts attributable to modifiable environmental characteristics is often indirect. Furthermore, the use of UHI tools in policy and decision-making appears to be limited, thus raising questions about the continued development of such tools by multiple organisations duplicating scarce resources. Further research is needed to understand the requirements of built environment policy and decision-makers, public health professionals and local communities regarding the form and presentation of indicators which support their varied objectives.

X Demographics

X Demographics

The data shown below were collected from the profiles of 75 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 254 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 254 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 43 17%
Student > Ph. D. Student 42 17%
Researcher 27 11%
Student > Bachelor 15 6%
Professor > Associate Professor 10 4%
Other 39 15%
Unknown 78 31%
Readers by discipline Count As %
Social Sciences 29 11%
Engineering 23 9%
Environmental Science 20 8%
Nursing and Health Professions 16 6%
Medicine and Dentistry 15 6%
Other 50 20%
Unknown 101 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 55. 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 31 October 2023.
All research outputs
#787,417
of 25,770,491 outputs
Outputs from Journal of Urban Health
#139
of 1,730 outputs
Outputs of similar age
#16,598
of 325,221 outputs
Outputs of similar age from Journal of Urban Health
#8
of 35 outputs
Altmetric has tracked 25,770,491 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,730 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.3. This one has done particularly well, scoring higher than 91% 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 325,221 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 94% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.