↓ Skip to main content

Framework to Define Structure and Boundaries of Complex Health Intervention Systems: The ALERT Project

Overview of attention for article published in Frontiers in Public Health, July 2017
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
48 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Framework to Define Structure and Boundaries of Complex Health Intervention Systems: The ALERT Project
Published in
Frontiers in Public Health, July 2017
DOI 10.3389/fpubh.2017.00182
Pubmed ID
Authors

Elena Boriani, Roberto Esposito, Chiara Frazzoli, Peter Fantke, Tine Hald, Simon R. Rüegg

Abstract

Health intervention systems are complex and subject to multiple variables in different phases of implementation. This constitutes a concrete challenge for the application of translational science in real life. Complex systems as health-oriented interventions call for interdisciplinary approaches with carefully defined system boundaries. Exploring individual components of such systems from different viewpoints gives a wide overview and helps to understand the elements and the relationships that drive actions and consequences within the system. In this study, we present an application and assessment of a framework with focus on systems and system boundaries of interdisciplinary projects. As an example on how to apply our framework, we analyzed ALERT [an integrated sensors and biosensors' system (BEST) aimed at monitoring the quality, health, and traceability of the chain of the bovine milk], a multidisciplinary and interdisciplinary project based on the application of measurable biomarkers at strategic points of the milk chain for improved food security (including safety), human, and ecosystem health (1). In fact, the European food safety framework calls for science-based support to the primary producers' mandate for legal, scientific, and ethical responsibility in food supply. Because of its multidisciplinary and interdisciplinary approach involving human, animal, and ecosystem health, ALERT can be considered as a One Health project. Within the ALERT context, we identified the need to take into account the main actors, interactions, and relationships of stakeholders to depict a simplified skeleton of the system. The framework can provide elements to highlight how and where to improve the project development when project evaluations are required.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 19%
Student > Master 7 15%
Other 6 13%
Student > Ph. D. Student 5 10%
Student > Doctoral Student 3 6%
Other 12 25%
Unknown 6 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 21%
Medicine and Dentistry 4 8%
Business, Management and Accounting 4 8%
Social Sciences 4 8%
Engineering 4 8%
Other 15 31%
Unknown 7 15%
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 28 July 2017.
All research outputs
#20,440,241
of 22,994,508 outputs
Outputs from Frontiers in Public Health
#7,674
of 10,195 outputs
Outputs of similar age
#276,354
of 316,684 outputs
Outputs of similar age from Frontiers in Public Health
#96
of 98 outputs
Altmetric has tracked 22,994,508 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 10,195 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. 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 316,684 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 98 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.