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Access to public drinking water fountains in Berkeley, California: a geospatial analysis

Overview of attention for article published in BMC Public Health, January 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)

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Title
Access to public drinking water fountains in Berkeley, California: a geospatial analysis
Published in
BMC Public Health, January 2018
DOI 10.1186/s12889-018-5087-4
Pubmed ID
Authors

Dylan C. Avery, Charlotte D. Smith

Abstract

In January 2015, Berkeley, California became the first city in the Unites States to impose a tax on sugar-sweetened beverages. The tax is intended to discourage purchase of sugary beverages and promote consumption of healthier alternatives such as tap water. The goal of the study was to assess the condition of public drinking water fountains and determine if there is a difference in access to clean, functioning fountains based on race or socio-economic status. A mobile-GIS App was created to locate and collect data on existing drinking water fountains in Berkeley, CA. Demographic variables related to race and socio-economic status (SES) were acquired from the US Census - American Community Survey database. Disparities in access to, or condition of drinking water fountains relative to demographics was explored using spatial analyses. Spatial statistical-analysis was performed to estimate demographic characteristics of communities near the water fountains and logistic regression was used to examine the relationship between household median income or race and condition of fountain. Although most fountains were classified as functioning, some were dirty, clogged, or both dirty and clogged. No spatial relationships between demographic characteristics and fountain conditions were observed. All geo-located data and a series of maps were provided to the City of Berkeley and the public. The geo-database created as an outcome of this study is useful for prioritizing maintenance of existing fountains and planning the locations of future fountains. The methodologies used for this study could be applied to a wide variety of asset inventory and assessment projects such as clinics or pharmaceutical dispensaries, both in developed and developing countries.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 12%
Other 5 12%
Student > Bachelor 5 12%
Student > Ph. D. Student 2 5%
Lecturer 1 2%
Other 5 12%
Unknown 19 45%
Readers by discipline Count As %
Social Sciences 5 12%
Medicine and Dentistry 3 7%
Nursing and Health Professions 2 5%
Agricultural and Biological Sciences 2 5%
Environmental Science 1 2%
Other 7 17%
Unknown 22 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 28 January 2018.
All research outputs
#12,747,321
of 23,018,998 outputs
Outputs from BMC Public Health
#8,673
of 14,995 outputs
Outputs of similar age
#198,965
of 441,261 outputs
Outputs of similar age from BMC Public Health
#189
of 256 outputs
Altmetric has tracked 23,018,998 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,995 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 441,261 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 256 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.