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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)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

blogs
1 blog
twitter
6 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
50 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

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.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
United Kingdom 1 2%
Canada 1 2%
Unknown 46 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 26%
Researcher 8 16%
Student > Master 6 12%
Professor > Associate Professor 5 10%
Other 5 10%
Other 13 26%
Readers by discipline Count As %
Medicine and Dentistry 18 36%
Unspecified 8 16%
Computer Science 5 10%
Nursing and Health Professions 4 8%
Business, Management and Accounting 4 8%
Other 11 22%

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
#817,277
of 12,428,247 outputs
Outputs from Journal of the American Medical Informatics Association
#305
of 2,032 outputs
Outputs of similar age
#15,546
of 192,182 outputs
Outputs of similar age from Journal of the American Medical Informatics Association
#11
of 48 outputs
Altmetric has tracked 12,428,247 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,032 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. 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 192,182 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 48 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.