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Predictors of Bovine TB Risk Behaviour amongst Meat Handlers in Nigeria: A Cross-Sectional Study Guided by the Health Belief Model

Overview of attention for article published in PLOS ONE, February 2013
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1 X user

Citations

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120 Mendeley
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Title
Predictors of Bovine TB Risk Behaviour amongst Meat Handlers in Nigeria: A Cross-Sectional Study Guided by the Health Belief Model
Published in
PLOS ONE, February 2013
DOI 10.1371/journal.pone.0056091
Pubmed ID
Authors

Dupe Hambolu, Jenny Freeman, Henock B. Taddese

Abstract

Bovine Tuberculosis (bTB) is still a serious public health threat in developing countries. The aim of this study is to determine the social and cognitive factors predicting one of the risk behaviours amongst meat handlers in Nigeria, namely, eating Fuku Elegusi. This is the practice of eating the visibly infected parts of the lung in-order to convince customers to buy meat. The study is guided by the health belief model (HBM).

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Nigeria 1 <1%
Brazil 1 <1%
Unknown 116 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 34 28%
Researcher 15 13%
Student > Ph. D. Student 14 12%
Student > Postgraduate 9 8%
Student > Bachelor 7 6%
Other 22 18%
Unknown 19 16%
Readers by discipline Count As %
Medicine and Dentistry 25 21%
Veterinary Science and Veterinary Medicine 14 12%
Agricultural and Biological Sciences 12 10%
Nursing and Health Professions 10 8%
Social Sciences 10 8%
Other 24 20%
Unknown 25 21%
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 15 February 2013.
All research outputs
#18,329,207
of 22,696,971 outputs
Outputs from PLOS ONE
#153,980
of 193,735 outputs
Outputs of similar age
#222,745
of 287,607 outputs
Outputs of similar age from PLOS ONE
#3,836
of 5,179 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,735 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 10th percentile – i.e., 10% 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 287,607 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5,179 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.