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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A benchmark for RNA-seq quantification pipelines
|
|---|---|
| Published in |
Genome Biology, April 2016
|
| DOI | 10.1186/s13059-016-0940-1 |
| Pubmed ID | |
| Authors |
Mingxiang Teng, Michael I. Love, Carrie A. Davis, Sarah Djebali, Alexander Dobin, Brenton R. Graveley, Sheng Li, Christopher E. Mason, Sara Olson, Dmitri Pervouchine, Cricket A. Sloan, Xintao Wei, Lijun Zhan, Rafael A. Irizarry |
| Abstract |
Obtaining RNA-seq measurements involves a complex data analytical process with a large number of competing algorithms as options. There is much debate about which of these methods provides the best approach. Unfortunately, it is currently difficult to evaluate their performance due in part to a lack of sensitive assessment metrics. We present a series of statistical summaries and plots to evaluate the performance in terms of specificity and sensitivity, available as a R/Bioconductor package ( http://bioconductor.org/packages/rnaseqcomp ). Using two independent datasets, we assessed seven competing pipelines. Performance was generally poor, with two methods clearly underperforming and RSEM slightly outperforming the rest. |
X Demographics
The data shown below were collected from the profiles of 179 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 | 48 | 27% |
| United Kingdom | 15 | 8% |
| Australia | 9 | 5% |
| Germany | 8 | 4% |
| Spain | 6 | 3% |
| Switzerland | 4 | 2% |
| France | 4 | 2% |
| Sweden | 4 | 2% |
| Netherlands | 3 | 2% |
| Other | 20 | 11% |
| Unknown | 58 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 112 | 63% |
| Members of the public | 64 | 36% |
| Practitioners (doctors, other healthcare professionals) | 2 | 1% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 736 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 2% |
| United Kingdom | 9 | 1% |
| Germany | 4 | <1% |
| Italy | 3 | <1% |
| Mexico | 3 | <1% |
| Sweden | 3 | <1% |
| Denmark | 2 | <1% |
| France | 2 | <1% |
| Canada | 2 | <1% |
| Other | 14 | 2% |
| Unknown | 679 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 208 | 28% |
| Student > Ph. D. Student | 174 | 24% |
| Student > Master | 84 | 11% |
| Student > Bachelor | 49 | 7% |
| Student > Doctoral Student | 37 | 5% |
| Other | 111 | 15% |
| Unknown | 73 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 255 | 35% |
| Biochemistry, Genetics and Molecular Biology | 235 | 32% |
| Computer Science | 47 | 6% |
| Medicine and Dentistry | 20 | 3% |
| Engineering | 17 | 2% |
| Other | 67 | 9% |
| Unknown | 95 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 122. 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 03 August 2022.
All research outputs
#342,793
of 25,374,917 outputs
Outputs from Genome Biology
#153
of 4,467 outputs
Outputs of similar age
#6,239
of 313,371 outputs
Outputs of similar age from Genome Biology
#3
of 76 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. 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 313,371 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 98% of its contemporaries.
We're also able to compare this research output to 76 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 96% of its contemporaries.