↓ Skip to main content

Classification bias in commercial business lists for retail food stores in the U.S.

Overview of attention for article published in International Journal of Behavioral Nutrition and Physical Activity, April 2012
Altmetric Badge

Citations

dimensions_citation
59 Dimensions

Readers on

mendeley
82 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Classification bias in commercial business lists for retail food stores in the U.S.
Published in
International Journal of Behavioral Nutrition and Physical Activity, April 2012
DOI 10.1186/1479-5868-9-46
Pubmed ID
Authors

Euna Han, Lisa M Powell, Shannon N Zenk, Leah Rimkus, Punam Ohri-Vachaspati, Frank J Chaloupka

Abstract

Aspects of the food environment such as the availability of different types of food stores have recently emerged as key modifiable factors that may contribute to the increased prevalence of obesity. Given that many of these studies have derived their results based on secondary datasets and the relationship of food stores with individual weight outcomes has been reported to vary by store type, it is important to understand the extent to which often-used secondary data correctly classify food stores. We evaluated the classification bias of food stores in Dun & Bradstreet (D&B) and InfoUSA commercial business lists.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 81 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 17%
Researcher 14 17%
Student > Master 9 11%
Student > Doctoral Student 9 11%
Student > Bachelor 6 7%
Other 18 22%
Unknown 12 15%
Readers by discipline Count As %
Medicine and Dentistry 18 22%
Social Sciences 15 18%
Business, Management and Accounting 5 6%
Environmental Science 5 6%
Economics, Econometrics and Finance 3 4%
Other 18 22%
Unknown 18 22%