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Mendeley readers
Attention Score in Context
| Title |
Prenatal parental tobacco smoking, gene specific DNA methylation, and newborns size: the Generation R study
|
|---|---|
| Published in |
Clinical Epigenetics, August 2015
|
| DOI | 10.1186/s13148-015-0115-z |
| Pubmed ID | |
| Authors |
Marieke I. Bouwland-Both, Nina H. van Mil, Catharina P. Tolhoek, Lisette Stolk, Paul H. C. Eilers, Michael M. P. J. Verbiest, Bastiaan T. Heijmans, André G. Uitterlinden, Albert Hofman, Marinus H. van Ijzendoorn, Liesbeth Duijts, Johan C. de Jongste, Henning Tiemeier, Eric A. P. Steegers, Vincent W. V. Jaddoe, Régine P. M. Steegers-Theunissen |
| Abstract |
Deleterious effects of prenatal tobacco smoking on fetal growth and newborn weight are well-established. One of the proposed mechanisms underlying this relationship is alterations in epigenetic programming. We selected 506 newborns from a population-based prospective birth cohort in the Netherlands. Prenatal parental tobacco smoking was assessed using self-reporting questionnaires. Information on birth outcomes was obtained from medical records. The deoxyribonucleic acid (DNA) methylation of the growth genes IGF2DMR and H19 was measured in newborn umbilical cord white blood cells. Associations were assessed between parental tobacco smoking and DNA methylation using linear mixed models and adjusted for potential confounders. The DNA methylation levels of IGF2DMR and H19 in the non-smoking group were median (90 % range), 54.0 % (44.6-62.0), and 30.0 % (25.5-34.0), in the first trimester only smoking group 52.2 % (44.5-61.1) and 30.8 % (27.1-34.1), and in the continued smoking group 51.6 % (43.9-61.3) and 30.2 % (23.7-34.8), respectively. Continued prenatal maternal smoking was inversely associated with IGF2DMR methylation (β = -1.03, 95 % CI -1.76; -0.30) in a dose-dependent manner (P-trend = 0.030). This association seemed to be slightly more profound among newborn girls (β = -1.38, 95 % CI -2.63; -0.14) than boys (β = -0.72, 95 % CI -1.68; 0.24). H19 methylation was also inversely associated continued smoking <5 cigarettes/day (β = -0.96, 95 % CI -1.78; -0.14). Moreover, the association between maternal smoking and newborns small for gestational age seems to be partially explained by IGF2DMR methylation (β = -0.095, 95 % CI -0.249; -0.018). Among non-smoking mothers, paternal tobacco smoking was not associated with IGF2DMR or H19 methylation. Maternal smoking is inversely associated with IGF2DMR methylation in newborns, which can be one of the underlying mechanisms through which smoking affects fetal growth. |
X Demographics
The data shown below were collected from the profiles of 10 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 | 3 | 30% |
| Greece | 1 | 10% |
| United States | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 60% |
| Scientists | 3 | 30% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 1% |
| Denmark | 1 | 1% |
| Unknown | 73 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 21% |
| Researcher | 10 | 13% |
| Student > Master | 9 | 12% |
| Student > Bachelor | 5 | 7% |
| Student > Doctoral Student | 5 | 7% |
| Other | 13 | 17% |
| Unknown | 17 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 15% |
| Medicine and Dentistry | 9 | 12% |
| Agricultural and Biological Sciences | 6 | 8% |
| Nursing and Health Professions | 5 | 7% |
| Psychology | 5 | 7% |
| Other | 12 | 16% |
| Unknown | 27 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 August 2015.
All research outputs
#5,723,105
of 22,821,814 outputs
Outputs from Clinical Epigenetics
#363
of 1,256 outputs
Outputs of similar age
#65,926
of 264,425 outputs
Outputs of similar age from Clinical Epigenetics
#21
of 43 outputs
Altmetric has tracked 22,821,814 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,256 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 71% 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 264,425 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 74% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.