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Attention Score in Context
| Title |
Determinants of malnutrition among urban slum children in Bangladesh
|
|---|---|
| Published in |
Health Economics Review, July 2015
|
| DOI | 10.1186/s13561-015-0059-1 |
| Pubmed ID | |
| Authors |
Adnan M S Fakir, M Wasiqur Rahman Khan |
| Abstract |
This paper analyzes the role of child, maternal and household variables on weight-for-age nutritional status of children in the largest urban slum of Bangladesh. We use anthropometric weight-for-age nutrition status of children for an ordered logistic analysis. Our dataset gives us the advantage of segregating health knowledge into three indices: health-seeking practices index, child health precautions index and medical cost knowledge index, which are used as covariates to understand the role of health knowledge towards child health. Gender specific regressions are also run to understand male and female children nutritional function differences. Per capita income significantly improves child health but household assets do not, casting doubt on the robustness of permanent income. After controlling for health knowledge and health-seeking behavior, the remaining impact of maternal education on child health is no longer significant. Health knowledge indices significantly improve child health albeit differentially. While male children are more sensitive to "child health precautions" and "medical cost knowledge", female children are more sensitive to "health-seeking practices". Role of health knowledge on child health carries a significant portion of the education effect. Policy makers looking to improve the nutritional status of female children vis-a-vis male children in study area, should promote programs focusing on health-seeking practices. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Bangladesh | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 209 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Germany | 1 | <1% |
| Tanzania, United Republic of | 1 | <1% |
| Unknown | 206 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 45 | 22% |
| Researcher | 24 | 11% |
| Student > Ph. D. Student | 24 | 11% |
| Student > Bachelor | 21 | 10% |
| Student > Postgraduate | 17 | 8% |
| Other | 26 | 12% |
| Unknown | 52 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 37 | 18% |
| Economics, Econometrics and Finance | 25 | 12% |
| Social Sciences | 25 | 12% |
| Nursing and Health Professions | 22 | 11% |
| Agricultural and Biological Sciences | 9 | 4% |
| Other | 29 | 14% |
| Unknown | 62 | 30% |
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 16 July 2015.
All research outputs
#14,231,810
of 22,817,213 outputs
Outputs from Health Economics Review
#220
of 429 outputs
Outputs of similar age
#135,278
of 262,414 outputs
Outputs of similar age from Health Economics Review
#7
of 13 outputs
Altmetric has tracked 22,817,213 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 429 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 44th percentile – i.e., 44% 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 262,414 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.