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Prevalence and factors associated with severe anaemia amongst under-five children hospitalized at Bugando Medical Centre, Mwanza, Tanzania

Overview of attention for article published in BMC Hematology, October 2015
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1 tweeter
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1 Facebook page

Citations

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34 Dimensions

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175 Mendeley
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Title
Prevalence and factors associated with severe anaemia amongst under-five children hospitalized at Bugando Medical Centre, Mwanza, Tanzania
Published in
BMC Hematology, October 2015
DOI 10.1186/s12878-015-0033-5
Pubmed ID
Authors

Rehema H. Simbauranga, Erasmus Kamugisha, Adolfine Hokororo, Benson R. Kidenya, Julie Makani

Abstract

Anaemia is a major public health problem in developing countries, contributing significantly to morbidity and mortality amongst children under-five years of age. About 43 % of under-fives are anaemic worldwide, and two-thirds reside in sub-Saharan Africa. Even where blood transfusion is available for treatment there is still a significant case fatality rate ranging between 6 and 18 %. This study aimed to determine the prevalence and morphological types of anaemia, as well as factors associated with severe anaemia in under-five children admitted at Bugando Medical Centre (BMC). This was a hospital-based, cross-sectional study conducted between November 2012 and February 2013. Selected laboratory investigations were done on children admitted to BMC. Anaemia was defined using WHO criteria. A total of 448 under-five children were recruited into the study. The overall prevalence of anaemia was 77.2 % (346/448) with mild, moderate and severe anaemia being 16.5, 33 and 27.7 % respectively. Microcytic hypochromic anaemia was detected in 37.5 % of the children with anaemia. Of 239 children with moderate and severe anaemia, 22.6 % (54/239) had iron deficiency anaemia based on serum ferritin level less than12 μg/ml. The factors associated with severe anaemia included unemployment of the parent, malaria parasitaemia and presence of sickle haemoglobin. The prevalence of anaemia among under-five children admitted at BMC was high. Iron deficiency anaemia was the most common type. Factors associated with severe anaemia were unemployment among caretakers, malaria parasitaemia and presence of sickle haemoglobin.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Zimbabwe 1 <1%
Unknown 174 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 48 27%
Student > Bachelor 41 23%
Student > Postgraduate 14 8%
Student > Ph. D. Student 11 6%
Lecturer 11 6%
Other 34 19%
Unknown 16 9%
Readers by discipline Count As %
Medicine and Dentistry 72 41%
Nursing and Health Professions 35 20%
Agricultural and Biological Sciences 11 6%
Social Sciences 8 5%
Environmental Science 5 3%
Other 22 13%
Unknown 22 13%

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 17 July 2017.
All research outputs
#8,832,672
of 11,477,928 outputs
Outputs from BMC Hematology
#46
of 70 outputs
Outputs of similar age
#156,595
of 248,935 outputs
Outputs of similar age from BMC Hematology
#2
of 2 outputs
Altmetric has tracked 11,477,928 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 70 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 31st percentile – i.e., 31% 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 248,935 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.