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Attention Score in Context
| Title |
A rapid and cost-effective method for genotyping apolipoprotein E gene polymorphism
|
|---|---|
| Published in |
Molecular Neurodegeneration, January 2016
|
| DOI | 10.1186/s13024-016-0069-4 |
| Pubmed ID | |
| Authors |
Li Zhong, Yong-Zhuang Xie, Tian-Tian Cao, Zongqi Wang, Tingting Wang, Xinxiu Li, Rui-Chi Shen, Huaxi Xu, Guojun Bu, Xiao-Fen Chen |
| Abstract |
Apolipoprotein E (ApoE) is a major cholesterol carrier and plays an important role in maintaining lipid homeostasis both in the periphery and brain. Human APOE gene is polymorphic at two single nucleotides (rs429358 and rs7412) resulting in three different alleles (ε2, ε3 and ε4). ApoE isoforms modulate the risk for a variety of vascular and neurodegenerative diseases; thus, APOE genotyping is crucial for predicting disease risk and designing individualized therapy based on APOE genotype. We have developed an APOE genotyping method that is based on allele-specific PCR methodology adapted to Real Time PCR monitored by TaqMan probe. Rather than using TaqMan probes specific for the two polymorphic sites, only one TaqMan probe is used as the polymorphic alleles are recognized by site-specific PCR primers. Each genotyping assay can be completed within 90 minutes and is applicable to high-throughput analysis. Using this protocol, we genotyped a total of 1158 human DNA samples and obtained a 100 % concordance with the APOE genotype determined by sequencing analysis. The APOE genotyping assay we have developed is accurate and cost-effective. In addition, our assay can readily be applied to genotyping large sample numbers. Therefore, our APOE genotyping method can be used for assessing the risk for a variety of vascular and neurodegenerative diseases that have been reported to be associated with APOE polymorphism. |
X Demographics
The data shown below were collected from the profiles of 3 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 States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 198 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 196 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 16% |
| Student > Bachelor | 30 | 15% |
| Researcher | 28 | 14% |
| Student > Master | 25 | 13% |
| Student > Doctoral Student | 13 | 7% |
| Other | 35 | 18% |
| Unknown | 36 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 48 | 24% |
| Neuroscience | 31 | 16% |
| Agricultural and Biological Sciences | 28 | 14% |
| Medicine and Dentistry | 16 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 3% |
| Other | 27 | 14% |
| Unknown | 42 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 29 March 2023.
All research outputs
#1,730,420
of 23,504,791 outputs
Outputs from Molecular Neurodegeneration
#160
of 871 outputs
Outputs of similar age
#31,725
of 398,358 outputs
Outputs of similar age from Molecular Neurodegeneration
#5
of 30 outputs
Altmetric has tracked 23,504,791 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 871 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one has done well, scoring higher than 81% 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 398,358 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 92% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.