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Approaches to integrated monitoring for environmental health impact assessment

Overview of attention for article published in Environmental Health, November 2012
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  • Good Attention Score compared to outputs of the same age (72nd percentile)

Mentioned by

policy
1 policy source
twitter
1 X user

Citations

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27 Dimensions

Readers on

mendeley
88 Mendeley
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2 CiteULike
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Title
Approaches to integrated monitoring for environmental health impact assessment
Published in
Environmental Health, November 2012
DOI 10.1186/1476-069x-11-88
Pubmed ID
Authors

Hai-Ying Liu, Alena Bartonova, Mathilde Pascal, Roel Smolders, Erik Skjetne, Maria Dusinska

Abstract

Although Integrated Environmental Health Monitoring (IEHM) is considered an essential tool to better understand complex environmental health issues, there is no consensus on how to develop such a programme. We reviewed four existing frameworks and eight monitoring programmes in the area of environmental health. We identified the DPSEEA (Driving Force-Pressure-State-Exposure-Effect-Action) framework as most suitable for developing an IEHM programme for environmental health impact assessment. Our review showed that most of the existing monitoring programmes have been designed for specific purposes, resulting in narrow scope and limited number of parameters. This therefore limits their relevance for studying complex environmental health topics. Other challenges include limited spatial and temporal data availability, limited development of data sharing mechanisms, heterogeneous data quality, a lack of adequate methodologies to link disparate data sources, and low level of interdisciplinary cooperation. To overcome some of these challenges, we propose a DPSEEA-based conceptual framework for an IEHM programme that would enable monitoring and measuring the impact of environmental changes on human health. We define IEHM as 'a systemic process to measure, analyse and interpret the state and changes of natural-eco-anthropogenic systems and its related health impact over time at the same location with causative explanations across the various compartments of the cause-effect chain'. We develop a structural work process to integrate information that is based on existing environmental health monitoring programmes. Such a framework allows the development of combined monitoring systems that exhibit a large degree of compatibility between countries and regions.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 2%
India 1 1%
Czechia 1 1%
United Kingdom 1 1%
Spain 1 1%
Unknown 82 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 22%
Student > Master 18 20%
Researcher 15 17%
Student > Bachelor 5 6%
Other 4 5%
Other 14 16%
Unknown 13 15%
Readers by discipline Count As %
Environmental Science 28 32%
Social Sciences 12 14%
Nursing and Health Professions 5 6%
Medicine and Dentistry 5 6%
Engineering 5 6%
Other 16 18%
Unknown 17 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 January 2016.
All research outputs
#6,917,607
of 22,687,320 outputs
Outputs from Environmental Health
#774
of 1,481 outputs
Outputs of similar age
#73,283
of 275,937 outputs
Outputs of similar age from Environmental Health
#14
of 17 outputs
Altmetric has tracked 22,687,320 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,481 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.3. This one is in the 47th percentile – i.e., 47% 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 275,937 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 72% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.