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A linear programming model for preserving privacy when disclosing patient spatial information for secondary purposes

Overview of attention for article published in International Journal of Health Geographics, May 2014
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Mentioned by

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1 Facebook page

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
31 Mendeley
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Title
A linear programming model for preserving privacy when disclosing patient spatial information for secondary purposes
Published in
International Journal of Health Geographics, May 2014
DOI 10.1186/1476-072x-13-16
Pubmed ID
Authors

Ho-Won Jung, Khaled El Emam

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 6%
Czechia 1 3%
Canada 1 3%
Unknown 27 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 26%
Student > Ph. D. Student 6 19%
Student > Doctoral Student 3 10%
Student > Master 3 10%
Student > Bachelor 1 3%
Other 1 3%
Unknown 9 29%
Readers by discipline Count As %
Medicine and Dentistry 5 16%
Computer Science 4 13%
Social Sciences 3 10%
Business, Management and Accounting 2 6%
Mathematics 1 3%
Other 5 16%
Unknown 11 35%
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 31 May 2014.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from International Journal of Health Geographics
#573
of 654 outputs
Outputs of similar age
#207,283
of 240,308 outputs
Outputs of similar age from International Journal of Health Geographics
#12
of 16 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 654 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one is in the 1st percentile – i.e., 1% 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 240,308 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.