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Overweight People Have Low Levels of Implicit Weight Bias, but Overweight Nations Have High Levels of Implicit Weight Bias

Overview of attention for article published in PLOS ONE, December 2013
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
10 X users

Citations

dimensions_citation
78 Dimensions

Readers on

mendeley
152 Mendeley
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1 CiteULike
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Title
Overweight People Have Low Levels of Implicit Weight Bias, but Overweight Nations Have High Levels of Implicit Weight Bias
Published in
PLOS ONE, December 2013
DOI 10.1371/journal.pone.0083543
Pubmed ID
Authors

Maddalena Marini, Natarajan Sriram, Konrad Schnabel, Norbert Maliszewski, Thierry Devos, Bo Ekehammar, Reinout Wiers, Cai HuaJian, Mónika Somogyi, Kimihiro Shiomura, Simone Schnall, Félix Neto, Yoav Bar-Anan, Michelangelo Vianello, Alfonso Ayala, Gabriel Dorantes, Jaihyun Park, Selin Kesebir, Antonio Pereira, Bogdan Tulbure, Tuulia Ortner, Irena Stepanikova, Anthony G. Greenwald, Brian A. Nosek

Abstract

Although a greater degree of personal obesity is associated with weaker negativity toward overweight people on both explicit (i.e., self-report) and implicit (i.e., indirect behavioral) measures, overweight people still prefer thin people on average. We investigated whether the national and cultural context - particularly the national prevalence of obesity - predicts attitudes toward overweight people independent of personal identity and weight status. Data were collected from a total sample of 338,121 citizens from 71 nations in 22 different languages on the Project Implicit website (https://implicit.harvard.edu/) between May 2006 and October 2010. We investigated the relationship of the explicit and implicit weight bias with the obesity both at the individual (i.e., across individuals) and national (i.e., across nations) level. Explicit weight bias was assessed with self-reported preference between overweight and thin people; implicit weight bias was measured with the Implicit Association Test (IAT). The national estimates of explicit and implicit weight bias were obtained by averaging the individual scores for each nation. Obesity at the individual level was defined as Body Mass Index (BMI) scores, whereas obesity at the national level was defined as three national weight indicators (national BMI, national percentage of overweight and underweight people) obtained from publicly available databases. Across individuals, greater degree of obesity was associated with weaker implicit negativity toward overweight people compared to thin people. Across nations, in contrast, a greater degree of national obesity was associated with stronger implicit negativity toward overweight people compared to thin people. This result indicates a different relationship between obesity and implicit weight bias at the individual and national levels.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 1%
Mexico 1 <1%
Canada 1 <1%
United States 1 <1%
Unknown 147 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 20%
Student > Bachelor 20 13%
Researcher 15 10%
Student > Master 15 10%
Student > Doctoral Student 10 7%
Other 30 20%
Unknown 31 20%
Readers by discipline Count As %
Psychology 65 43%
Medicine and Dentistry 14 9%
Nursing and Health Professions 8 5%
Social Sciences 8 5%
Agricultural and Biological Sciences 3 2%
Other 13 9%
Unknown 41 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 16 August 2022.
All research outputs
#1,018,247
of 23,106,934 outputs
Outputs from PLOS ONE
#13,706
of 197,132 outputs
Outputs of similar age
#11,016
of 287,619 outputs
Outputs of similar age from PLOS ONE
#430
of 5,571 outputs
Altmetric has tracked 23,106,934 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 197,132 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one has done particularly well, scoring higher than 93% 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 287,619 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 96% of its contemporaries.
We're also able to compare this research output to 5,571 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.