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The AGING Initiative experience: a call for sustained support for team science networks

Overview of attention for article published in Health Research Policy and Systems, May 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)

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Title
The AGING Initiative experience: a call for sustained support for team science networks
Published in
Health Research Policy and Systems, May 2018
DOI 10.1186/s12961-018-0324-y
Pubmed ID
Authors

Tullika Garg, Kathryn Anzuoni, Valentina Landyn, Alexandra Hajduk, Stephen Waring, Leah R. Hanson, Heather E. Whitson

Abstract

Team science, defined as collaborative research efforts that leverage the expertise of diverse disciplines, is recognised as a critical means to address complex healthcare challenges, but the practical implementation of team science can be difficult. Our objective is to describe the barriers, solutions and lessons learned from our team science experience as applied to the complex and growing challenge of multiple chronic conditions (MCC). MCC is the presence of two or more chronic conditions that have a collective adverse effect on health status, function or quality of life, and that require complex healthcare management, decision-making or coordination. Due to the increasing impact on the United States society, MCC research has been identified as a high priority research area by multiple federal agencies. In response to this need, two national research entities, the Healthcare Systems Research Network (HCSRN) and the Claude D. Pepper Older Americans Independence Centers (OAIC), formed the Advancing Geriatrics Infrastructure and Network Growth (AGING) Initiative to build nationwide capacity for MCC team science. This article describes the structure, lessons learned and initial outcomes of the AGING Initiative. We call for funding mechanisms to sustain infrastructures that have demonstrated success in fostering team science and innovation in translating findings to policy change necessary to solve complex problems in healthcare.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 12%
Student > Bachelor 6 12%
Researcher 5 10%
Student > Ph. D. Student 4 8%
Student > Doctoral Student 2 4%
Other 10 20%
Unknown 18 35%
Readers by discipline Count As %
Nursing and Health Professions 9 18%
Social Sciences 8 16%
Medicine and Dentistry 7 14%
Biochemistry, Genetics and Molecular Biology 2 4%
Agricultural and Biological Sciences 2 4%
Other 5 10%
Unknown 18 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 11 June 2018.
All research outputs
#3,750,819
of 25,311,095 outputs
Outputs from Health Research Policy and Systems
#544
of 1,378 outputs
Outputs of similar age
#70,846
of 336,363 outputs
Outputs of similar age from Health Research Policy and Systems
#24
of 27 outputs
Altmetric has tracked 25,311,095 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,378 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one has gotten more attention than average, scoring higher than 60% 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 336,363 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 78% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.