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Mendeley readers
Attention Score in Context
| Title |
Blood-based biomarkers of adverse perinatal outcomes in maternal obesity
|
|---|---|
| Published in |
Journal of Maternal-Fetal & Neonatal Medicine, January 2017
|
| DOI | 10.1080/14767058.2016.1271406 |
| Pubmed ID | |
| Authors |
Tania T. Herrera, Jillian L. Garcia, Gabrielle B. Britton |
| Abstract |
Increasing maternal weight has been shown to predict adverse perinatal outcome, including increases in the relative risk of fetal death, stillbirth, neonatal death, perinatal death and infant death. In order to better understand the pathophysiological factors associated with obesity during pregnancy, the role of biomarkers associated with adverse outcomes in obese pregnant women is under investigation. The purpose of this review study was to examine potential biomarkers that could serve as effective screening strategies in obese pregnant women to reduce fetal and neonatal morbidity, as well as maternal morbidity. Electronic databases (Pubmed, Embase) were searched for previously published research studies that investigated biomarkers associated with perinatal outcomes in obese pregnant women and the putative mechanisms underlying biomarker effects on pregnancy outcomes. It is evident that while several biomarkers predict perinatal complications in obese pregnant women, none fulfill the criteria to be considered clinically useful. There is a critical need for reliable blood-based biomarkers associated with an increased risk of adverse perinatal outcomes in obese pregnant women. |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 19% |
| Researcher | 7 | 16% |
| Student > Bachelor | 5 | 12% |
| Student > Ph. D. Student | 5 | 12% |
| Librarian | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 14 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 26% |
| Nursing and Health Professions | 6 | 14% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Social Sciences | 2 | 5% |
| Business, Management and Accounting | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 16 | 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 14 January 2017.
All research outputs
#22,760,732
of 25,377,790 outputs
Outputs from Journal of Maternal-Fetal & Neonatal Medicine
#2,501
of 3,280 outputs
Outputs of similar age
#364,535
of 423,579 outputs
Outputs of similar age from Journal of Maternal-Fetal & Neonatal Medicine
#28
of 35 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,280 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 1st percentile – i.e., 1% 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 423,579 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 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.