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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Estimation of high risk pregnancy contributing to perinatal morbidity and mortality from a birth population-based regional survey in 2010 in China
|
|---|---|
| Published in |
BMC Pregnancy and Childbirth, September 2014
|
| DOI | 10.1186/1471-2393-14-338 |
| Pubmed ID | |
| Authors |
Libo Sun, Hongni Yue, Bo Sun, Liangrong Han, Zhaofang Tian, Meihua Qi, Shuyan Lu, Chunming Shan, Jianxin Luo, Yujing Fan, Shouzhong Li, Maotian Dong, Xiaofeng Zuo, Yixing Zhang, Wenlong Lin, Jinzhong Xu, Yongbo Heng, Huai’an Perinatal-Neonatal Study Group |
| Abstract |
Neonatal mortality reduction in China over past two decades was reported from nationwide sampling surveys, however, how high risk pregnancy affected neonatal outcome is unknown. The objective of this study was to explore relations of pregnancy complications and neonatal outcomes from a regional birth population. |
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 | 1 | 20% |
| India | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 1% |
| Ethiopia | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 84 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 22% |
| Student > Postgraduate | 11 | 13% |
| Student > Ph. D. Student | 9 | 10% |
| Student > Bachelor | 9 | 10% |
| Researcher | 6 | 7% |
| Other | 14 | 16% |
| Unknown | 19 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 40 | 46% |
| Nursing and Health Professions | 12 | 14% |
| Economics, Econometrics and Finance | 4 | 5% |
| Environmental Science | 2 | 2% |
| Agricultural and Biological Sciences | 2 | 2% |
| Other | 8 | 9% |
| Unknown | 19 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 17 October 2014.
All research outputs
#12,611,455
of 22,765,347 outputs
Outputs from BMC Pregnancy and Childbirth
#2,231
of 4,175 outputs
Outputs of similar age
#110,857
of 252,706 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#47
of 87 outputs
Altmetric has tracked 22,765,347 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,175 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 45th percentile – i.e., 45% 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 252,706 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 55% of its contemporaries.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.