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Research impact of systems-level long-term care research: a multiple case study

Overview of attention for article published in Health Research Policy and Systems, March 2017
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Research impact of systems-level long-term care research: a multiple case study
Published in
Health Research Policy and Systems, March 2017
DOI 10.1186/s12961-017-0185-9
Pubmed ID
Authors

Anita Kothari, Nedra Peter, Melissa Donskov, Tracy Luciani

Abstract

Traditional reporting of research outcomes and impacts, which tends to focus on research product publications and grant success, does not capture the value, some contributions, or the complexity of research projects. The purpose of this study was to understand the contributions of five systems-level research projects as they were unfolding at the Bruyère Centre for Learning, Research and Innovation (CLRI) in long-term care (LTC) in Ottawa, Ontario, Canada. The research questions were, (1) How are partnerships with research end-users (policymakers, administrators and other public/private organisations) characterised? (2) How have interactions with the CLRI Management Committee and Steering Committee influenced the development of research products? (3) In what way have other activities, processes, unlinked actors or organisations been influenced by the research project activities? The study was guided by Kok and Schuit's concept of research impacts, using a multiple case study design. Data were collected through focus groups and interviews with research teams, a management and a steering committee, research user partners, and unlinked actors. Documents were collected and analysed for contextual background. Cross-case analysis revealed four major themes: (1) Benefits and Perceived Tensions: Working with Partners; (2) Speaking with the LTC Community: Interactions with the CLRI Steering Committee; (3) The Knowledge Broker: Interactions with the Management Committee; and (4) All Forms of Research Contributions. Most contributions were focused on interactions with networks and stimulating important conversations in the province about LTC issues. These contributions were well-supported by the Steering and Management Committees' research-to-action platform, which can be seen as a type of knowledge brokering model. It was also clear that researcher-user partnerships were beneficial and important.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 87 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 16%
Student > Ph. D. Student 13 15%
Researcher 12 14%
Student > Doctoral Student 5 6%
Student > Postgraduate 5 6%
Other 16 18%
Unknown 22 25%
Readers by discipline Count As %
Medicine and Dentistry 15 17%
Social Sciences 14 16%
Nursing and Health Professions 12 14%
Business, Management and Accounting 5 6%
Computer Science 3 3%
Other 10 11%
Unknown 28 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 09 May 2017.
All research outputs
#6,259,575
of 22,961,203 outputs
Outputs from Health Research Policy and Systems
#736
of 1,220 outputs
Outputs of similar age
#101,320
of 309,329 outputs
Outputs of similar age from Health Research Policy and Systems
#22
of 34 outputs
Altmetric has tracked 22,961,203 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,220 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one is in the 39th percentile – i.e., 39% 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 309,329 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 67% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.