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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Blind spots of quantitative RNA-seq: the limits for assessing abundance, differential expression, and isoform switching
|
|---|---|
| Published in |
BMC Bioinformatics, December 2013
|
| DOI | 10.1186/1471-2105-14-370 |
| Pubmed ID | |
| Authors |
Hubert Rehrauer, Lennart Opitz, Ge Tan, Lina Sieverling, Ralph Schlapbach |
| Abstract |
RNA-seq is now widely used to quantitatively assess gene expression, expression differences and isoform switching, and promises to deliver results for the entire transcriptome. However, whether the transcriptional state of a gene can be captured accurately depends critically on library preparation, read alignment, expression estimation and the tests for differential expression and isoform switching. There are comparisons available for the individual steps but there is not yet a systematic investigation which specific genes are impacted by biases throughout the entire analysis workflow. It is especially unclear whether for a given gene, with current methods and protocols, expression changes and isoform switches can be detected. |
X Demographics
The data shown below were collected from the profiles of 19 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 | 7 | 37% |
| Belgium | 2 | 11% |
| Australia | 1 | 5% |
| Canada | 1 | 5% |
| United Kingdom | 1 | 5% |
| Norway | 1 | 5% |
| France | 1 | 5% |
| China | 1 | 5% |
| Unknown | 4 | 21% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 12 | 63% |
| Members of the public | 5 | 26% |
| Science communicators (journalists, bloggers, editors) | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 16 | 8% |
| United Kingdom | 4 | 2% |
| Germany | 3 | 2% |
| Norway | 3 | 2% |
| Brazil | 3 | 2% |
| Spain | 2 | 1% |
| Sweden | 2 | 1% |
| Finland | 1 | <1% |
| Czechia | 1 | <1% |
| Other | 5 | 3% |
| Unknown | 151 | 79% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 62 | 32% |
| Student > Ph. D. Student | 55 | 29% |
| Student > Master | 17 | 9% |
| Student > Bachelor | 12 | 6% |
| Professor > Associate Professor | 10 | 5% |
| Other | 28 | 15% |
| Unknown | 7 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 120 | 63% |
| Biochemistry, Genetics and Molecular Biology | 33 | 17% |
| Computer Science | 9 | 5% |
| Neuroscience | 5 | 3% |
| Engineering | 4 | 2% |
| Other | 9 | 5% |
| Unknown | 11 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 27 October 2020.
All research outputs
#1,471,051
of 22,738,543 outputs
Outputs from BMC Bioinformatics
#285
of 7,266 outputs
Outputs of similar age
#17,999
of 306,712 outputs
Outputs of similar age from BMC Bioinformatics
#8
of 114 outputs
Altmetric has tracked 22,738,543 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,266 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 96% 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 306,712 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 94% of its contemporaries.
We're also able to compare this research output to 114 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 92% of its contemporaries.