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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DAFS: a data-adaptive flag method for RNA-sequencing data to differentiate genes with low and high expression
|
|---|---|
| Published in |
BMC Bioinformatics, March 2014
|
| DOI | 10.1186/1471-2105-15-92 |
| Pubmed ID | |
| Authors |
Nysia I George, Ching-Wei Chang |
| Abstract |
Next-generation sequencing (NGS) has advanced the application of high-throughput sequencing technologies in genetic and genomic variation analysis. Due to the large dynamic range of expression levels, RNA-seq is more prone to detect transcripts with low expression. It is clear that genes with no mapped reads are not expressed; however, there is ongoing debate about the level of abundance that constitutes biologically meaningful expression. To date, there is no consensus on the definition of low expression. Since random variation is high in regions with low expression and distributions of transcript expression are affected by numerous experimental factors, methods to differentiate low and high expressed data in a sample are critical to interpreting classes of abundance levels in RNA-seq data. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 11% |
| Sweden | 1 | 11% |
| Canada | 1 | 11% |
| Germany | 1 | 11% |
| Spain | 1 | 11% |
| France | 1 | 11% |
| United States | 1 | 11% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 44% |
| Scientists | 4 | 44% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 5% |
| Germany | 2 | 2% |
| Netherlands | 1 | 1% |
| Norway | 1 | 1% |
| Sweden | 1 | 1% |
| Italy | 1 | 1% |
| United Kingdom | 1 | 1% |
| Poland | 1 | 1% |
| Unknown | 73 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 31% |
| Researcher | 22 | 26% |
| Student > Master | 15 | 18% |
| Professor > Associate Professor | 6 | 7% |
| Student > Bachelor | 5 | 6% |
| Other | 9 | 11% |
| Unknown | 2 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 53% |
| Neuroscience | 10 | 12% |
| Computer Science | 8 | 9% |
| Biochemistry, Genetics and Molecular Biology | 6 | 7% |
| Medicine and Dentistry | 3 | 4% |
| Other | 9 | 11% |
| Unknown | 4 | 5% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 09 November 2022.
All research outputs
#2,305,335
of 24,776,799 outputs
Outputs from BMC Bioinformatics
#564
of 7,586 outputs
Outputs of similar age
#22,883
of 231,603 outputs
Outputs of similar age from BMC Bioinformatics
#11
of 101 outputs
Altmetric has tracked 24,776,799 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,586 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 92% 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 231,603 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 90% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.