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The effects of local street network characteristics on the positional accuracy of automated geocoding for geographic health studies

Overview of attention for article published in International Journal of Health Geographics, February 2010
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Citations

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31 Dimensions

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29 Mendeley
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Title
The effects of local street network characteristics on the positional accuracy of automated geocoding for geographic health studies
Published in
International Journal of Health Geographics, February 2010
DOI 10.1186/1476-072x-9-10
Pubmed ID
Authors

Dale L Zimmerman, Jie Li

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 3%
Canada 1 3%
Unknown 27 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 21%
Student > Bachelor 4 14%
Researcher 4 14%
Student > Master 3 10%
Student > Doctoral Student 2 7%
Other 7 24%
Unknown 3 10%
Readers by discipline Count As %
Medicine and Dentistry 6 21%
Engineering 5 17%
Earth and Planetary Sciences 5 17%
Computer Science 3 10%
Social Sciences 3 10%
Other 2 7%
Unknown 5 17%