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Health adaptation policy for climate vulnerable groups: a ‘critical computational linguistics’ analysis

Overview of attention for article published in BMC Public Health, November 2014
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Citations

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102 Mendeley
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1 CiteULike
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Title
Health adaptation policy for climate vulnerable groups: a ‘critical computational linguistics’ analysis
Published in
BMC Public Health, November 2014
DOI 10.1186/1471-2458-14-1235
Pubmed ID
Authors

Bastian M Seidel, Erica Bell

Abstract

Many countries are developing or reviewing national adaptation policy for climate change but the extent to which these meet the health needs of vulnerable groups has not been assessed. This study examines the adequacy of such policies for nine known climate-vulnerable groups: people with mental health conditions, Aboriginal people, culturally and linguistically diverse groups, aged people, people with disabilities, rural communities, children, women, and socioeconomically disadvantaged people.

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X Demographics

The data shown below were collected from the profiles of 3 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 102 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 18%
Researcher 17 17%
Student > Ph. D. Student 15 15%
Student > Doctoral Student 10 10%
Student > Bachelor 7 7%
Other 17 17%
Unknown 18 18%
Readers by discipline Count As %
Medicine and Dentistry 18 18%
Social Sciences 15 15%
Nursing and Health Professions 13 13%
Psychology 7 7%
Environmental Science 6 6%
Other 20 20%
Unknown 23 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 15 July 2019.
All research outputs
#14,679,012
of 24,616,908 outputs
Outputs from BMC Public Health
#10,455
of 16,279 outputs
Outputs of similar age
#189,989
of 372,565 outputs
Outputs of similar age from BMC Public Health
#145
of 215 outputs
Altmetric has tracked 24,616,908 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,279 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 33rd percentile – i.e., 33% 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 372,565 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 215 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.