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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Disparity of anemia prevalence and associated factors among rural to urban migrant and the local children under two years old: a population based cross-sectional study in Pinghu, China
|
|---|---|
| Published in |
BMC Public Health, June 2014
|
| DOI | 10.1186/1471-2458-14-601 |
| Pubmed ID | |
| Authors |
Shiyun Hu, Hui Tan, Aiping Peng, Hong Jiang, Jianmei Wu, Sufang Guo, Xu Qian |
| Abstract |
Number of internal rural to urban migrant children in China increased rapidly. The disparity of anemia prevalence among them and children of local permanent residents has been reported, both in big and middle-size cities. There has been no population-based study to explore the associated factors on feeding behaviors in small size cities of China. This study aimed to identify whether there was a difference in the prevalence of anemia between children of rural to urban migrant families and local children under 2 years old in a small coastal city in China, and to identify the associated factors of any observed difference. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 95 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 15 | 16% |
| Researcher | 9 | 9% |
| Student > Doctoral Student | 9 | 9% |
| Student > Ph. D. Student | 8 | 8% |
| Student > Master | 8 | 8% |
| Other | 23 | 24% |
| Unknown | 23 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 28% |
| Nursing and Health Professions | 18 | 19% |
| Economics, Econometrics and Finance | 3 | 3% |
| Agricultural and Biological Sciences | 3 | 3% |
| Social Sciences | 3 | 3% |
| Other | 11 | 12% |
| Unknown | 30 | 32% |
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 16 June 2014.
All research outputs
#18,843,424
of 24,051,764 outputs
Outputs from BMC Public Health
#13,194
of 15,832 outputs
Outputs of similar age
#159,043
of 232,431 outputs
Outputs of similar age from BMC Public Health
#237
of 284 outputs
Altmetric has tracked 24,051,764 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,832 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. 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 232,431 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 284 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.