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Is nodding syndrome in northern Uganda linked to consumption of mycotoxin contaminated food grains?

Overview of attention for article published in BMC Research Notes, September 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

Mentioned by

twitter
2 tweeters

Citations

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6 Dimensions

Readers on

mendeley
27 Mendeley
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Title
Is nodding syndrome in northern Uganda linked to consumption of mycotoxin contaminated food grains?
Published in
BMC Research Notes, September 2018
DOI 10.1186/s13104-018-3774-y
Pubmed ID
Authors

Richard Echodu, Hilary Edema, Geoffrey Maxwell Malinga, Adam Hendy, Robert Colebunders, Joyce Moriku Kaducu, Emilio Ovuga, Geert Haesaert

Abstract

Nodding syndrome (NS) is a type of epilepsy characterized by repeated head-nodding seizures that appear in previously healthy children between 3 and 18 years of age. In 2012, during a WHO International Meeting on NS in Kampala, Uganda, it was recommended that fungal contamination of foods should be investigated as a possible cause of the disease. We therefore aimed to assess whether consumption of fungal mycotoxins contributes to NS development. We detected similar high levels of total aflatoxin and ochratoxin in mostly millet, sorghum, maize and groundnuts in both households with and without children with NS. Furthermore, there was no significant association between concentrations of total aflatoxin, ochratoxin and doxynivalenol and the presence of children with NS in households. In conclusion, our results show no supporting evidence for the association of NS with consumption of mycotoxins in contaminated foods.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 26%
Student > Bachelor 4 15%
Student > Ph. D. Student 3 11%
Researcher 3 11%
Professor 1 4%
Other 4 15%
Unknown 5 19%
Readers by discipline Count As %
Medicine and Dentistry 4 15%
Biochemistry, Genetics and Molecular Biology 4 15%
Social Sciences 3 11%
Psychology 2 7%
Nursing and Health Professions 1 4%
Other 6 22%
Unknown 7 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 November 2019.
All research outputs
#7,734,427
of 14,334,469 outputs
Outputs from BMC Research Notes
#1,137
of 3,243 outputs
Outputs of similar age
#125,827
of 273,016 outputs
Outputs of similar age from BMC Research Notes
#1
of 1 outputs
Altmetric has tracked 14,334,469 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,243 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 62% 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 273,016 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them