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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Enhancing the detection of barcoded reads in high throughput DNA sequencing data by controlling the false discovery rate
|
|---|---|
| Published in |
BMC Bioinformatics, August 2014
|
| DOI | 10.1186/1471-2105-15-264 |
| Pubmed ID | |
| Authors |
Tilo Buschmann, Rong Zhang, Douglas E Brash, Leonid V Bystrykh |
| Abstract |
DNA barcodes are short unique sequences used to label DNA or RNA-derived samples in multiplexed deep sequencing experiments. During the demultiplexing step, barcodes must be detected and their position identified. In some cases (e.g., with PacBio SMRT), the position of the barcode and DNA context is not well defined. Many reads start inside the genomic insert so that adjacent primers might be missed. The matter is further complicated by coincidental similarities between barcode sequences and reference DNA. Therefore, a robust strategy is required in order to detect barcoded reads and avoid a large number of false positives or negatives.For mass inference problems such as this one, false discovery rate (FDR) methods are powerful and balanced solutions. Since existing FDR methods cannot be applied to this particular problem, we present an adapted FDR method that is suitable for the detection of barcoded reads as well as suggest possible improvements. |
X Demographics
The data shown below were collected from the profiles of 14 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 | 4 | 29% |
| Norway | 2 | 14% |
| India | 2 | 14% |
| Spain | 1 | 7% |
| United Kingdom | 1 | 7% |
| Netherlands | 1 | 7% |
| France | 1 | 7% |
| Unknown | 2 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 50% |
| Members of the public | 6 | 43% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Netherlands | 1 | 2% |
| Sweden | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 47 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 37% |
| Student > Ph. D. Student | 10 | 19% |
| Student > Doctoral Student | 4 | 8% |
| Student > Bachelor | 3 | 6% |
| Professor > Associate Professor | 3 | 6% |
| Other | 6 | 12% |
| Unknown | 7 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 37% |
| Biochemistry, Genetics and Molecular Biology | 11 | 21% |
| Medicine and Dentistry | 4 | 8% |
| Computer Science | 4 | 8% |
| Immunology and Microbiology | 3 | 6% |
| Other | 4 | 8% |
| Unknown | 7 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 02 April 2024.
All research outputs
#2,176,927
of 25,706,302 outputs
Outputs from BMC Bioinformatics
#487
of 7,735 outputs
Outputs of similar age
#21,240
of 242,272 outputs
Outputs of similar age from BMC Bioinformatics
#13
of 122 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,735 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 93% 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 242,272 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 91% of its contemporaries.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.