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An Index to Determine Vulnerability of Communities in a Coastal Zone: A Case Study of Baler, Aurora, Philippines

Overview of attention for article published in Ambio, July 2012
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Citations

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142 Mendeley
Title
An Index to Determine Vulnerability of Communities in a Coastal Zone: A Case Study of Baler, Aurora, Philippines
Published in
Ambio, July 2012
DOI 10.1007/s13280-012-0331-0
Pubmed ID
Authors

Pedcris M. Orencio, Masahiko Fujii

Abstract

A coastal community vulnerability index (CCVI) was constructed to evaluate the vulnerability of coastal communities (Buhangin, Pingit, Reserva, Sabang, and Zabali) in the municipality of Baler, Aurora, Philippines. This index was composed of weighted averages of seven vulnerability factors namely geographical, economic and livelihood, food security, environmental, policy and institutional, demographic, and capital good. Factor values were computed based on scores that described range of conditions that influence communities' susceptibility to hazard effects. Among the factors evaluated, economic and livelihood, policy and institutional and food security contributed to CCVI across communities. Only small variations on CCVI values (i.e., 0.47-0.53) were observed as factor values cancelled out one another during combination process. Overall, Sabang received the highest CCVI, which was contributed mainly by geographical and demographic factors. This technique to determine factors that influenced communities' vulnerability can provide information for local governments in enhancing policies on risk mitigation and adaptation.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Germany 1 <1%
Tanzania, United Republic of 1 <1%
Unknown 138 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 22%
Researcher 23 16%
Student > Master 17 12%
Student > Doctoral Student 15 11%
Student > Bachelor 8 6%
Other 26 18%
Unknown 22 15%
Readers by discipline Count As %
Environmental Science 34 24%
Social Sciences 23 16%
Economics, Econometrics and Finance 16 11%
Earth and Planetary Sciences 12 8%
Agricultural and Biological Sciences 10 7%
Other 19 13%
Unknown 28 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 August 2012.
All research outputs
#22,398,125
of 24,988,588 outputs
Outputs from Ambio
#1,730
of 1,777 outputs
Outputs of similar age
#153,537
of 169,733 outputs
Outputs of similar age from Ambio
#22
of 22 outputs
Altmetric has tracked 24,988,588 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,777 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.0. This one is in the 1st percentile – i.e., 1% 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 169,733 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.