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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Factors influencing the quality of preconception healthcare in China: applying a preconceptional instrument to assess healthcare needs
|
|---|---|
| Published in |
BMC Pregnancy and Childbirth, November 2014
|
| DOI | 10.1186/1471-2393-14-360 |
| Pubmed ID | |
| Authors |
Xinliang Zhao, Xiaoqing Jiang, Junzhen Zhu, Guozheng Li, Xiaoyan He, Fengying Ma, Qian Meng, Qinying Cao, Yucui Meng, Christopher Howson, Nanbert Zhong, Yaping Tian |
| Abstract |
Preconception care is defined as the promotion of the health and well-being of a woman and her partner before pregnancy. Improving preconception health can result in improved reproductive health outcomes. China has issued latest version official guideline for preconception care in 2011. The objective of this cross-sectional study is to determine whether there is a variation in the quality of preconception healthcare services in distinct eastern and northern populations of China, and what factors are associated with such variation. |
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 % |
|---|---|---|
| United States | 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 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 131 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 21 | 16% |
| Researcher | 15 | 11% |
| Student > Bachelor | 12 | 9% |
| Student > Ph. D. Student | 11 | 8% |
| Student > Postgraduate | 6 | 5% |
| Other | 20 | 15% |
| Unknown | 46 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 48 | 37% |
| Nursing and Health Professions | 13 | 10% |
| Social Sciences | 5 | 4% |
| Biochemistry, Genetics and Molecular Biology | 3 | 2% |
| Agricultural and Biological Sciences | 2 | 2% |
| Other | 12 | 9% |
| Unknown | 48 | 37% |
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 08 December 2014.
All research outputs
#18,385,510
of 22,772,779 outputs
Outputs from BMC Pregnancy and Childbirth
#3,460
of 4,181 outputs
Outputs of similar age
#187,745
of 262,163 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#65
of 79 outputs
Altmetric has tracked 22,772,779 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,181 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 9th percentile – i.e., 9% 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 262,163 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.