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How can diagnostic assessment programs be implemented to enhance inter-professional collaborative care for cancer?

Overview of attention for article published in Implementation Science, January 2014
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Title
How can diagnostic assessment programs be implemented to enhance inter-professional collaborative care for cancer?
Published in
Implementation Science, January 2014
DOI 10.1186/1748-5908-9-4
Pubmed ID
Authors

Anna R Gagliardi, Terri Stuart-McEwan, Julie Gilbert, Frances C Wright, Jeffrey Hoch, Melissa C Brouwers, Mark J Dobrow, Thomas K Waddell, David R McCready

Abstract

Inter-professional collaborative care (ICC) for cancer leads to multiple system, organizational, professional, and patient benefits, but is limited by numerous challenges. Empirical research on interventions that promote or enable ICC is sparse so guidance on how to achieve ICC is lacking. Research shows that ICC for diagnosis could be improved. Diagnostic assessment programs (DAPs) appear to be a promising model for enabling ICC. The purpose of this study was to explore how DAP structure and function enable ICC, and whether that may be associated with organizational and clinical outcomes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
United States 1 1%
Argentina 1 1%
Unknown 81 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 18%
Student > Master 11 13%
Student > Ph. D. Student 10 12%
Student > Postgraduate 9 11%
Other 4 5%
Other 15 18%
Unknown 21 25%
Readers by discipline Count As %
Medicine and Dentistry 24 28%
Nursing and Health Professions 11 13%
Social Sciences 8 9%
Economics, Econometrics and Finance 3 4%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 11 13%
Unknown 25 29%
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 06 January 2014.
All research outputs
#15,289,831
of 22,738,543 outputs
Outputs from Implementation Science
#1,556
of 1,721 outputs
Outputs of similar age
#189,538
of 304,525 outputs
Outputs of similar age from Implementation Science
#26
of 28 outputs
Altmetric has tracked 22,738,543 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,721 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one is in the 5th percentile – i.e., 5% 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 304,525 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.