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Anemia, malnutrition and their correlations with socio-demographic characteristics and feeding practices among infants aged 0–18 months in rural areas of Shaanxi province in northwestern China: a…

Overview of attention for article published in BMC Public Health, December 2012
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1 X user

Citations

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Title
Anemia, malnutrition and their correlations with socio-demographic characteristics and feeding practices among infants aged 0–18 months in rural areas of Shaanxi province in northwestern China: a cross-sectional study
Published in
BMC Public Health, December 2012
DOI 10.1186/1471-2458-12-1127
Pubmed ID
Authors

Wenfang Yang, Xu Li, Ying Li, Shuiping Zhang, Liming Liu, Xiang Wang, Weimin Li

Abstract

The first 18 months of life are the most important for long-term childhood well-being. Anemia and malnutrition occurring in this key period have serious implications for individuals and societies, especially in rural areas in developing country. We conducted a cross-sectional study as the baseline survey to provide data for developing a policy-based approach to controlling infant anemia and malnutrition in rural areas of Shaanxi province in northwestern China.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 261 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 <1%
Rwanda 1 <1%
Nigeria 1 <1%
Unknown 258 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 47 18%
Student > Bachelor 33 13%
Student > Ph. D. Student 30 11%
Researcher 17 7%
Student > Postgraduate 15 6%
Other 35 13%
Unknown 84 32%
Readers by discipline Count As %
Medicine and Dentistry 62 24%
Nursing and Health Professions 41 16%
Social Sciences 18 7%
Agricultural and Biological Sciences 16 6%
Economics, Econometrics and Finance 6 2%
Other 25 10%
Unknown 93 36%
Attention Score in Context

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 30 December 2012.
All research outputs
#15,260,208
of 22,691,736 outputs
Outputs from BMC Public Health
#11,263
of 14,766 outputs
Outputs of similar age
#181,202
of 280,252 outputs
Outputs of similar age from BMC Public Health
#228
of 288 outputs
Altmetric has tracked 22,691,736 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,766 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 16th percentile – i.e., 16% 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 280,252 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 288 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.