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Patient-powered research networks: building capacity for conducting patient-centered clinical outcomes research

Overview of attention for article published in Journal of the American Medical Informatics Association, May 2014
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

blogs
1 blog
twitter
6 X users
facebook
2 Facebook pages

Citations

dimensions_citation
62 Dimensions

Readers on

mendeley
84 Mendeley
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Title
Patient-powered research networks: building capacity for conducting patient-centered clinical outcomes research
Published in
Journal of the American Medical Informatics Association, May 2014
DOI 10.1136/amiajnl-2014-002758
Pubmed ID
Authors

PCORnet PPRN Consortium, Sarah E Daugherty, Sarita Wahba, Rachael Fleurence, Paul Avillach, Janice Buelow, Richard Colletti, Florian Eichler, Seth Ginsberg, Esi Morgan Dewitt, Robert McBurney, Peter A. Merkel, Richard Mularski, Marc Natter, Andrew A. Nierenberg, Liz Horn, Megan O'Boyle, Holly Peay, Mark Pletcher, Susan Redline, Bruce Robinson, Michael D Kappleman, Kathleen E. Sullivan, Sue Friedman, Rebecca Sutphen, John Walsh

Abstract

The Patient-Centered Outcomes Research Institute (PCORI) recently launched PCORnet to establish a single inter-operable multicenter data research network that will support observational research and randomized clinical trials. This paper provides an overview of the patient-powered research networks (PPRNs), networks of patient organizations focused on a particular health condition that are interested in sharing health information and engaging in research. PPRNs will build on their foundation of trust within the patient communities and draw on their expertise, working with participants to identify true patient-centered outcomes and direct a patient-centered research agenda. The PPRNs will overcome common challenges including enrolling a diverse and representative patient population; engaging patients in governance; designing the data infrastructure; sharing data securely while protecting privacy; prioritizing research questions; scaling small networks into a larger network; and identifying pathways to sustainability. PCORnet will be the first distributed research network to bring PCOR to national scale.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
United Kingdom 1 1%
Canada 1 1%
Unknown 80 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 24%
Researcher 11 13%
Student > Master 8 10%
Other 5 6%
Student > Bachelor 5 6%
Other 18 21%
Unknown 17 20%
Readers by discipline Count As %
Medicine and Dentistry 22 26%
Nursing and Health Professions 12 14%
Computer Science 7 8%
Business, Management and Accounting 6 7%
Social Sciences 6 7%
Other 9 11%
Unknown 22 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 25 March 2016.
All research outputs
#1,866,693
of 22,755,127 outputs
Outputs from Journal of the American Medical Informatics Association
#570
of 3,071 outputs
Outputs of similar age
#20,048
of 227,162 outputs
Outputs of similar age from Journal of the American Medical Informatics Association
#5
of 29 outputs
Altmetric has tracked 22,755,127 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 3,071 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has done well, scoring higher than 81% 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 227,162 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.