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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Detection of three closely located single nucleotide polymorphisms in the EAAT2 promoter: comparison of single-strand conformational polymorphism (SSCP), pyrosequencing and Sanger sequencing
|
|---|---|
| Published in |
BMC Genomic Data, July 2014
|
| DOI | 10.1186/1471-2156-15-80 |
| Pubmed ID | |
| Authors |
Shavanthi Rajatileka, Karen Luyt, Maggie Williams, David Harding, David Odd, Elek Molnár, Anikó Váradi |
| Abstract |
Single-strand conformational polymorphism (SSCP) is still a frequently used genotyping method across different fields for the detection of single nucleotide polymorphisms (SNPs) due to its simplicity, requirement for basic equipment accessible in most laboratories and low cost. This technique was previously used to detect rs4354668:A > C (g.-181A > C) SNP in the promoter of astroglial glutamate transporter (EAAT2) and the same approach was initially used here to investigate this promoter region in a cohort of newborns. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 22% |
| Student > Bachelor | 5 | 19% |
| Lecturer | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Other | 1 | 4% |
| Other | 5 | 19% |
| Unknown | 8 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 19% |
| Agricultural and Biological Sciences | 4 | 15% |
| Neuroscience | 3 | 11% |
| Medicine and Dentistry | 3 | 11% |
| Business, Management and Accounting | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 8 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 2014.
All research outputs
#16,720,137
of 25,368,786 outputs
Outputs from BMC Genomic Data
#606
of 1,203 outputs
Outputs of similar age
#139,312
of 242,165 outputs
Outputs of similar age from BMC Genomic Data
#13
of 25 outputs
Altmetric has tracked 25,368,786 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,203 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.