You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fetal Genotype and Maternal Glucose have Independent and Additive Effects on Birth Weight
|
|---|---|
| Published in |
Diabetes, February 2018
|
| DOI | 10.2337/db17-1188 |
| Pubmed ID | |
| Authors |
Alice E Hughes, Michael Nodzenski, Robin N Beaumont, Octavious Talbot, Beverley M Shields, Denise M Scholtens, Bridget A Knight, William L Lowe, Andrew T Hattersley, Rachel M Freathy |
| Abstract |
Maternal glycemia is a key determinant of birth weight but recent large-scale genome wide-association studies demonstrated an important contribution of fetal genetics. It is not known whether fetal genotype modifies the impact of maternal glycemia, or whether it acts through insulin-mediated growth. We tested the effects of maternal fasting plasma glucose (FPG) and a fetal genetic score for birth weight on birth weight and fetal insulin in 2,051 European mother-child pairs from the Exeter Family Study of Childhood Health (EFSOCH) and Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study. The fetal genetic score influenced birth weight independently of maternal FPG and impacted on growth at all levels of maternal glycemia. For mothers with FPG in the top tertile, the frequency of large for gestational age (LGA, birth weight ≥90thcentile) was 31.1% for offspring with the highest tertile genetic score and only 14.0% with the lowest tertile genetic score. Unlike maternal glucose, the fetal genetic score was not associated with cord insulin or C-peptide. Similar results were seen for HAPO participants of non-European ancestry (n=2,842 pairs). This work demonstrates that for any level of maternal FPG, fetal genetics have a major impact on fetal growth and act predominantly through independent mechanisms. |
X Demographics
The data shown below were collected from the profiles of 19 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 Kingdom | 8 | 42% |
| Spain | 3 | 16% |
| Canada | 2 | 11% |
| Switzerland | 1 | 5% |
| Unknown | 5 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 63% |
| Scientists | 4 | 21% |
| Practitioners (doctors, other healthcare professionals) | 3 | 16% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 20% |
| Student > Bachelor | 5 | 9% |
| Other | 4 | 7% |
| Student > Ph. D. Student | 4 | 7% |
| Researcher | 3 | 5% |
| Other | 7 | 13% |
| Unknown | 21 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 22% |
| Nursing and Health Professions | 6 | 11% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Unspecified | 2 | 4% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 22 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 39. 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 19 November 2020.
All research outputs
#942,711
of 23,577,654 outputs
Outputs from Diabetes
#358
of 9,336 outputs
Outputs of similar age
#22,869
of 332,243 outputs
Outputs of similar age from Diabetes
#8
of 67 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,336 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one has done particularly well, scoring higher than 96% of its peers.
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 332,243 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.