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Correlation of cord blood telomere length with birth weight

Overview of attention for article published in BMC Research Notes, September 2017
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Title
Correlation of cord blood telomere length with birth weight
Published in
BMC Research Notes, September 2017
DOI 10.1186/s13104-017-2791-6
Pubmed ID
Authors

Siew-Peng Lee, Prakash Hande, George SH Yeo, Ene-Choo Tan

Abstract

Intrauterine growth restriction affects 3% of newborns; and the lightest 10% of whom are classified as small for gestational age (SGA). These low-birth weight newborns are at increased risk of neonatal morbidity such as hypoxia and hypoglycaemia. In later life, they are at higher risk of several age-related diseases such as cardiovascular and metabolic disorders and dementia. As having short telomeres is also associated with these diseases, we tested if these newborns might already start with shorter telomeres at birth. Relative telomere lengths were determined using quantitative real-time PCR in cord blood samples from 195 newborns of Chinese ancestry. Based on the telomere length normalised to a single copy gene and a reference DNA sample as internal control, we found statistically significant correlations between relative telomere length and both unadjusted and gestational age-adjusted birth weight, with the lighter newborns having shorter telomeres. The SGA birth weight group comprising the bottom 10% of the samples also had the shortest telomeres compared to the medium and heaviest birth weight groups. Our results indicate that there is reduction of cord blood telomere length for newborns with lower birth weight.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 21%
Student > Master 9 16%
Student > Ph. D. Student 4 7%
Student > Doctoral Student 3 5%
Researcher 3 5%
Other 8 14%
Unknown 19 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 16%
Medicine and Dentistry 7 12%
Psychology 3 5%
Nursing and Health Professions 3 5%
Agricultural and Biological Sciences 3 5%
Other 8 14%
Unknown 25 43%
Attention Score in Context

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 10 September 2017.
All research outputs
#20,446,373
of 23,001,641 outputs
Outputs from BMC Research Notes
#3,579
of 4,283 outputs
Outputs of similar age
#276,054
of 316,058 outputs
Outputs of similar age from BMC Research Notes
#95
of 115 outputs
Altmetric has tracked 23,001,641 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 4,283 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 115 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.