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Attention Score in Context
| Title |
Progesterone Receptor (PGR) gene polymorphism is associated with susceptibility to preterm birth
|
|---|---|
| Published in |
BMC Medical Genomics, August 2015
|
| DOI | 10.1186/s12881-015-0202-1 |
| Pubmed ID | |
| Authors |
Immaculate Mbongo Langmia, Yamunah Devi Apalasamy, Siti Zawaih Omar, Zahurin Mohamed |
| Abstract |
Preterm birth (PTB) is the major cause of death in newborn and the second major cause of death in children less than 5 years old worldwide. Genetic polymorphism has been implicated as a factor for the occurrence of preterm birth. The aim of this study is to evaluate whether polymorphism in the progesterone receptor (PGR) is associated with susceptibility to preterm birth. A total of 135 women with preterm and 532 women with term deliveries were genotyped for PGR gene polymorphisms (rs660149, rs471767, rs10895068) using Sequenom MassARRAY platform. The G allele of PGR rs660149 polymorphism was significantly associated with susceptibility to PTB in the Malay women. The odds of G allele occurring among Malay women with preterm delivery was twice that of Malay women with term delivery (OR 2.3, 95 % CI (1.2-4.5, P = 0.011). Alternatively, no significant association was observed between PGR rs660149 polymorphisms and susceptibility to PTB in Chinese and Indian women. This study shows that variability in the occurrence of PTB across ethnicities in Malaysia is partly due to differences in genetic background. We therefore suggest that in addition to life style and environmental factors, genetic factor should be greatly considered in this population. Prior information on the genetic composition of women may help in the identification and management of women at risk of preterm birth complication. |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 23% |
| Student > Bachelor | 5 | 16% |
| Student > Master | 3 | 10% |
| Researcher | 3 | 10% |
| Student > Doctoral Student | 2 | 6% |
| Other | 3 | 10% |
| Unknown | 8 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 32% |
| Biochemistry, Genetics and Molecular Biology | 4 | 13% |
| Nursing and Health Professions | 2 | 6% |
| Agricultural and Biological Sciences | 2 | 6% |
| Arts and Humanities | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 8 | 26% |
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 21 October 2015.
All research outputs
#22,759,452
of 25,373,627 outputs
Outputs from BMC Medical Genomics
#2,010
of 2,444 outputs
Outputs of similar age
#237,904
of 277,605 outputs
Outputs of similar age from BMC Medical Genomics
#53
of 61 outputs
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So far Altmetric has tracked 2,444 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.
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We're also able to compare this research output to 61 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.