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Equity and seeking treatment for young children with fever in Nigeria: a cross-sectional study in Cross River and Bauchi States

Overview of attention for article published in Infectious Diseases of Poverty, January 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
3 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
61 Mendeley
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Title
Equity and seeking treatment for young children with fever in Nigeria: a cross-sectional study in Cross River and Bauchi States
Published in
Infectious Diseases of Poverty, January 2015
DOI 10.1186/2049-9957-4-1
Pubmed ID
Authors

Bikom Patrick Odu, Steven Mitchell, Hajara Isa, Iyam Ugot, Robbinson Yusuf, Anne Cockcroft, Neil Andersson

Abstract

Poor children have a higher risk of contracting malaria and may be less likely to receive effective treatment. Malaria is an important cause of morbidity and mortality in Nigerian children and many cases of childhood fever are due to malaria. This study examined socioeconomic factors related to taking children with fever for treatment in formal health facilities.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Kenya 1 2%
Unknown 60 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 25%
Student > Master 12 20%
Researcher 8 13%
Student > Bachelor 4 7%
Professor > Associate Professor 4 7%
Other 12 20%
Unknown 6 10%
Readers by discipline Count As %
Medicine and Dentistry 24 39%
Social Sciences 10 16%
Agricultural and Biological Sciences 4 7%
Economics, Econometrics and Finance 3 5%
Psychology 2 3%
Other 9 15%
Unknown 9 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 02 January 2015.
All research outputs
#3,431,593
of 8,572,651 outputs
Outputs from Infectious Diseases of Poverty
#116
of 326 outputs
Outputs of similar age
#76,304
of 242,948 outputs
Outputs of similar age from Infectious Diseases of Poverty
#6
of 18 outputs
Altmetric has tracked 8,572,651 research outputs across all sources so far. This one has received more attention than most of these and is in the 59th percentile.
So far Altmetric has tracked 326 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 64% 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 242,948 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 68% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.