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Mendeley readers
Attention Score in Context
| Title |
A 454 multiplex sequencing method for rapid and reliable genotyping of highly polymorphic genes in large-scale studies
|
|---|---|
| Published in |
BMC Genomics, May 2010
|
| DOI | 10.1186/1471-2164-11-296 |
| Pubmed ID | |
| Authors |
Maxime Galan, Emmanuel Guivier, Gilles Caraux, Nathalie Charbonnel, Jean-François Cosson |
| Abstract |
High-throughput sequencing technologies offer new perspectives for biomedical, agronomical and evolutionary research. Promising progresses now concern the application of these technologies to large-scale studies of genetic variation. Such studies require the genotyping of high numbers of samples. This is theoretically possible using 454 pyrosequencing, which generates billions of base pairs of sequence data. However several challenges arise: first in the attribution of each read produced to its original sample, and second, in bioinformatic analyses to distinguish true from artifactual sequence variation. This pilot study proposes a new application for the 454 GS FLX platform, allowing the individual genotyping of thousands of samples in one run. A probabilistic model has been developed to demonstrate the reliability of this method. |
Mendeley readers
The data shown below were compiled from readership statistics for 344 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 1% |
| France | 4 | 1% |
| United Kingdom | 3 | <1% |
| Germany | 2 | <1% |
| Italy | 2 | <1% |
| Australia | 2 | <1% |
| Brazil | 2 | <1% |
| Czechia | 2 | <1% |
| Norway | 1 | <1% |
| Other | 14 | 4% |
| Unknown | 307 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 95 | 28% |
| Student > Ph. D. Student | 91 | 26% |
| Student > Master | 43 | 13% |
| Professor > Associate Professor | 22 | 6% |
| Student > Doctoral Student | 20 | 6% |
| Other | 46 | 13% |
| Unknown | 27 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 253 | 74% |
| Biochemistry, Genetics and Molecular Biology | 20 | 6% |
| Environmental Science | 14 | 4% |
| Medicine and Dentistry | 8 | 2% |
| Economics, Econometrics and Finance | 3 | <1% |
| Other | 12 | 3% |
| Unknown | 34 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 23 August 2012.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from BMC Genomics
#3,907
of 11,244 outputs
Outputs of similar age
#38,075
of 103,791 outputs
Outputs of similar age from BMC Genomics
#32
of 73 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 58% 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 103,791 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.