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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comparison of single nucleotide polymorphisms in the 3′ untranslated region of HLA-G in placentas between spontaneous preterm birth and preeclampsia
|
|---|---|
| Published in |
BMC Research Notes, March 2018
|
| DOI | 10.1186/s13104-018-3280-2 |
| Pubmed ID | |
| Authors |
Ji Young Lee, Hyun Mi Kim, Mi Ju Kim, Hyun-Hwa Cha, Won Joon Seong |
| Abstract |
To compare single nucleotide polymorphisms (SNPs) in the 3'-untranslated region (3'UTR) of human leukocyte antigen (HLA)-G in placentas between spontaneous preterm birth and preeclampsia pregnancies. Placental samples matched for gestational age were obtained from 20 cases of spontaneous preterm births and 19 cases of preeclampsia. Genomic deoxyribonucleic acid was extracted from placenta tissue and the 3'UTR region of HLA-G was amplified via polymerase chain reaction. Nine SNPs were analyzed by direct Sanger sequencing. There was no significant difference in gestational age at delivery or birth weight between two groups. And there were no significant differences in the allele and phenotype frequencies between two groups. |
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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 29% |
| Student > Bachelor | 2 | 12% |
| Other | 1 | 6% |
| Professor | 1 | 6% |
| Researcher | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 7 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 18% |
| Nursing and Health Professions | 2 | 12% |
| Engineering | 2 | 12% |
| Immunology and Microbiology | 2 | 12% |
| Agricultural and Biological Sciences | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 6 | 35% |
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 11 September 2018.
All research outputs
#20,533,292
of 23,103,436 outputs
Outputs from BMC Research Notes
#3,584
of 4,287 outputs
Outputs of similar age
#295,007
of 333,906 outputs
Outputs of similar age from BMC Research Notes
#81
of 99 outputs
Altmetric has tracked 23,103,436 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 4,287 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 99 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.