You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Gendered Effects of Siblings on Child Malnutrition in South Asia: Cross-sectional Analysis of Demographic and Health Surveys from Bangladesh, India, and Nepal
|
|---|---|
| Published in |
Maternal and Child Health Journal, June 2014
|
| DOI | 10.1007/s10995-014-1513-0 |
| Pubmed ID | |
| Authors |
Anita Raj, Lotus P. McDougal, Jay G. Silverman |
| Abstract |
This study examines the effects of number and sex of siblings on malnutrition of boys and girls under-5 in South Asia. Cross-sectional analyses were conducted on Demographic and Health Surveys data on children under-5 in Bangladesh (N = 7,861), India (N = 46,655) and Nepal (N = 2,475). Data were pooled across countries, and multinomial logistic regression was used to assess the relationship between number and sex of siblings and malnutrition outcomes (wasting, stunting, underweight; based on anthropometric data), adjusting for country and key social and maternal-child health indicators in sex stratified analyses. Number of brothers increased the odds for severe wasting [1 vs. 0 brothers adjusted odds ratio (AOR) = 1.31, 95 % CI = 1.11, 1.55; 2 vs. 0 brothers AOR = 1.36, 95 % CI = 1.07, 1.73] for girls but not boys. Having more male siblings and more female siblings increased the odds of stunting for boys and girls, but effect of 3+ sisters on severe stunting was significantly stronger for girls than boys (girls- 3+ vs. 0 sisters AOR = 2.25, 95 % CI = 1.88, 2.70; boys- 3+ vs. 0 sisters AOR = 1.37, 95 % CI = 1.13, 1.67). For underweight, three or more sisters increased the odds for severe underweight for girls (AOR = 1.27, 95 % CI = 1.04, 1.57) but not boys. Having brothers heightens girl risk for acute malnutrition (wasting), where having multiple sisters increases girl risk for chronic malnutrition (stunting/underweight). Boy malnutrition is less affected by siblings. Findings suggest that issues of son preference/daughter aversion may affect child malnutrition in South Asia. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 60% |
| India | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 1 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | <1% |
| Unknown | 190 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 36 | 19% |
| Student > Ph. D. Student | 35 | 18% |
| Researcher | 26 | 14% |
| Student > Bachelor | 12 | 6% |
| Student > Postgraduate | 6 | 3% |
| Other | 25 | 13% |
| Unknown | 51 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 37 | 19% |
| Medicine and Dentistry | 32 | 17% |
| Nursing and Health Professions | 25 | 13% |
| Psychology | 7 | 4% |
| Economics, Econometrics and Finance | 6 | 3% |
| Other | 21 | 11% |
| Unknown | 63 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 18 June 2014.
All research outputs
#7,298,724
of 23,906,448 outputs
Outputs from Maternal and Child Health Journal
#741
of 2,039 outputs
Outputs of similar age
#67,524
of 231,338 outputs
Outputs of similar age from Maternal and Child Health Journal
#29
of 51 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,039 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has gotten more attention than average, scoring higher than 63% 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 231,338 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 70% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.