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Managing protected health information in distributed research network environments: automated review to facilitate collaboration

Overview of attention for article published in BMC Medical Informatics and Decision Making, March 2013
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4 X users
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1 Facebook page

Citations

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4 Dimensions

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37 Mendeley
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Title
Managing protected health information in distributed research network environments: automated review to facilitate collaboration
Published in
BMC Medical Informatics and Decision Making, March 2013
DOI 10.1186/1472-6947-13-39
Pubmed ID
Authors

Christine E Bredfeldt, Amy Butani, Sandhyasree Padmanabhan, Paul Hitz, Roy Pardee

Abstract

Multi-site health sciences research is becoming more common, as it enables investigation of rare outcomes and diseases and new healthcare innovations. Multi-site research usually involves the transfer of large amounts of research data between collaborators, which increases the potential for accidental disclosures of protected health information (PHI). Standard protocols for preventing release of PHI are extremely vulnerable to human error, particularly when the shared data sets are large.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 8%
United States 1 3%
Canada 1 3%
Unknown 32 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 22%
Student > Ph. D. Student 8 22%
Student > Doctoral Student 6 16%
Professor 3 8%
Librarian 2 5%
Other 5 14%
Unknown 5 14%
Readers by discipline Count As %
Computer Science 5 14%
Medicine and Dentistry 5 14%
Social Sciences 4 11%
Nursing and Health Professions 3 8%
Agricultural and Biological Sciences 3 8%
Other 12 32%
Unknown 5 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 August 2013.
All research outputs
#13,148,117
of 22,701,287 outputs
Outputs from BMC Medical Informatics and Decision Making
#942
of 1,980 outputs
Outputs of similar age
#103,589
of 197,452 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#26
of 41 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,980 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 51% 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 197,452 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.