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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Hormonal Predictors of Abnormal Luteal Phases in Normally Cycling Women
|
|---|---|
| Published in |
Frontiers in Public Health, May 2018
|
| DOI | 10.3389/fpubh.2018.00144 |
| Pubmed ID | |
| Authors |
Saman H. Abdulla, Thomas P. Bouchard, Rene A. Leiva, Phil Boyle, Jean Iwaz, René Ecochard |
| Abstract |
Objective: Explore potential relationships between preovulatory, periovulatory, and luteal-phase characteristics in normally cycling women. Design: Observational study. Setting: Eight European natural family planning clinics. Patient(s): Ninety-nine women contributing 266 menstrual cycles. Intervention(s): The participants collected first morning urine samples that were analyzed for estrone-3 glucuronide (E1G), pregnanediol-3- alpha-glucuronide (PDG), follicle stimulating hormone (FSH), and luteinizing hormone (LH). The participants underwent serial ovarian ultrasound examinations. Main Outcome Measure(s): Four outcome measures were analyzed: short luteal phase, low mid-luteal phase PDG level (mPDG), normal then low luteal PDG level, low then normal luteal PDG level. Results: A long preovulatory phase was a predictor of short luteal phase, with or without adjustment for other variables. A high periovulatory PDG level was a predictor for short luteal phase as well as normal then low luteal PDG level. A low periovulatory PDG level predicted low mPDG and low then normal luteal PDG level, with or without adjustment for other variables. A small maximum follicle predicted normal then low luteal PDG level, with or without adjustment for other variables. The relationship between small maximum follicle size and short luteal phase or small maximum follicle size and low mPDG was no longer present when the regression was adjusted for certain characteristics. A younger age at menarche and a high body mass index were both predictors of low mPDG. Conclusion: Luteal phase abnormalities exist over a spectrum where some ovulation disorders may exist as deviations from the normal ovulatory process.This study confirms the negative impact of a small follicle size on the quality of the luteal phase. The occurrence of normal then low luteal PDG level is confirmed as a potential sign of luteal phase abnormality. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 20% |
| Student > Ph. D. Student | 3 | 10% |
| Researcher | 3 | 10% |
| Professor > Associate Professor | 3 | 10% |
| Student > Master | 2 | 7% |
| Other | 4 | 13% |
| Unknown | 9 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 30% |
| Nursing and Health Professions | 3 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Social Sciences | 2 | 7% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 9 | 30% |
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 24 May 2018.
All research outputs
#18,624,695
of 23,072,295 outputs
Outputs from Frontiers in Public Health
#5,939
of 10,370 outputs
Outputs of similar age
#255,381
of 330,346 outputs
Outputs of similar age from Frontiers in Public Health
#73
of 86 outputs
Altmetric has tracked 23,072,295 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 10,370 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one is in the 24th percentile – i.e., 24% 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 330,346 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 86 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.