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MINDMAP: establishing an integrated database infrastructure for research in ageing, mental well-being, and the urban environment

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

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

blogs
1 blog
twitter
12 X users
facebook
1 Facebook page

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
193 Mendeley
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Title
MINDMAP: establishing an integrated database infrastructure for research in ageing, mental well-being, and the urban environment
Published in
BMC Public Health, January 2018
DOI 10.1186/s12889-018-5031-7
Pubmed ID
Authors

Mariëlle A. Beenackers, Dany Doiron, Isabel Fortier, J. Mark Noordzij, Erica Reinhard, Emilie Courtin, Martin Bobak, Basile Chaix, Giuseppe Costa, Ulrike Dapp, Ana V. Diez Roux, Martijn Huisman, Emily M. Grundy, Steinar Krokstad, Pekka Martikainen, Parminder Raina, Mauricio Avendano, Frank J. van Lenthe

Abstract

Urbanization and ageing have important implications for public mental health and well-being. Cities pose major challenges for older citizens, but also offer opportunities to develop, test, and implement policies, services, infrastructure, and interventions that promote mental well-being. The MINDMAP project aims to identify the opportunities and challenges posed by urban environmental characteristics for the promotion and management of mental well-being and cognitive function of older individuals. MINDMAP aims to achieve its research objectives by bringing together longitudinal studies from 11 countries covering over 35 cities linked to databases of area-level environmental exposures and social and urban policy indicators. The infrastructure supporting integration of this data will allow multiple MINDMAP investigators to safely and remotely co-analyse individual-level and area-level data. Individual-level data is derived from baseline and follow-up measurements of ten participating cohort studies and provides information on mental well-being outcomes, sociodemographic variables, health behaviour characteristics, social factors, measures of frailty, physical function indicators, and chronic conditions, as well as blood derived clinical biochemistry-based biomarkers and genetic biomarkers. Area-level information on physical environment characteristics (e.g. green spaces, transportation), socioeconomic and sociodemographic characteristics (e.g. neighbourhood income, residential segregation, residential density), and social environment characteristics (e.g. social cohesion, criminality) and national and urban social policies is derived from publically available sources such as geoportals and administrative databases. The linkage, harmonization, and analysis of data from different sources are being carried out using piloted tools to optimize the validity of the research results and transparency of the methodology. MINDMAP is a novel research collaboration that is combining population-based cohort data with publicly available datasets not typically used for ageing and mental well-being research. Integration of various data sources and observational units into a single platform will help to explain the differences in ageing-related mental and cognitive disorders both within as well as between cities in Europe, the US, Canada, and Russia and to assess the causal pathways and interactions between the urban environment and the individual determinants of mental well-being and cognitive ageing in older adults.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 193 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 193 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 14%
Student > Master 26 13%
Researcher 25 13%
Student > Doctoral Student 22 11%
Student > Bachelor 14 7%
Other 24 12%
Unknown 55 28%
Readers by discipline Count As %
Social Sciences 25 13%
Medicine and Dentistry 21 11%
Psychology 15 8%
Nursing and Health Professions 11 6%
Engineering 9 5%
Other 45 23%
Unknown 67 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 August 2020.
All research outputs
#2,212,136
of 24,892,887 outputs
Outputs from BMC Public Health
#2,519
of 16,541 outputs
Outputs of similar age
#50,474
of 452,779 outputs
Outputs of similar age from BMC Public Health
#59
of 243 outputs
Altmetric has tracked 24,892,887 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,541 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done well, scoring higher than 84% of its peers.
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 452,779 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 243 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.