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Attention Score in Context
| Title |
ABO allele-level frequency estimation based on population-scale genotyping by next generation sequencing
|
|---|---|
| Published in |
BMC Genomics, May 2016
|
| DOI | 10.1186/s12864-016-2687-1 |
| Pubmed ID | |
| Authors |
Kathrin Lang, Ines Wagner, Bianca Schöne, Gerhard Schöfl, Kerstin Birkner, Jan A. Hofmann, Jürgen Sauter, Julia Pingel, Irina Böhme, Alexander H. Schmidt, Vinzenz Lange |
| Abstract |
The characterization of the ABO blood group status is vital for blood transfusion and solid organ transplantation. Several methods for the molecular characterization of the ABO gene, which encodes the alleles that give rise to the different ABO blood groups, have been described. However, the application of those methods has so far been restricted to selected samples and not been applied to population-scale analysis. We describe a cost-effective method for high-throughput genotyping of the ABO system by next generation sequencing. Sample specific barcodes and sequencing adaptors are introduced during PCR, rendering the products suitable for direct sequencing on Illumina MiSeq or HiSeq instruments. Complete sequence coverage of exons 6 and 7 enables molecular discrimination of the ABO subgroups and many alleles. The workflow was applied to ABO genotype more than a million samples. We report the allele group frequencies calculated on a subset of more than 110,000 sampled individuals of German origin. Further we discuss the potential of the workflow for high resolution genotyping taking the observed allele group frequencies into account. Finally, sequence analysis revealed 287 distinct so far not described alleles of which the most abundant one was identified in 174 samples. The described workflow delivers high resolution ABO genotyping at low cost enabling population-scale molecular ABO characterization. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| China | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 54 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 16% |
| Student > Bachelor | 9 | 16% |
| Student > Ph. D. Student | 7 | 12% |
| Student > Postgraduate | 6 | 11% |
| Student > Master | 6 | 11% |
| Other | 8 | 14% |
| Unknown | 12 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 28% |
| Agricultural and Biological Sciences | 10 | 18% |
| Immunology and Microbiology | 4 | 7% |
| Medicine and Dentistry | 3 | 5% |
| Computer Science | 2 | 4% |
| Other | 3 | 5% |
| Unknown | 19 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 April 2022.
All research outputs
#4,034,053
of 22,873,031 outputs
Outputs from BMC Genomics
#1,656
of 10,664 outputs
Outputs of similar age
#68,904
of 333,293 outputs
Outputs of similar age from BMC Genomics
#34
of 197 outputs
Altmetric has tracked 22,873,031 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,664 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 84% 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 333,293 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 197 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.