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X Demographics
Mendeley readers
Attention Score in Context
| Title |
GLiMMPS: robust statistical model for regulatory variation of alternative splicing using RNA-seq data
|
|---|---|
| Published in |
Genome Biology, July 2013
|
| DOI | 10.1186/gb-2013-14-7-r74 |
| Pubmed ID | |
| Authors |
Keyan Zhao, Zhi-xiang Lu, Juw Won Park, Qing Zhou, Yi Xing |
| Abstract |
To characterize the genetic variation of alternative splicing, we develop GLiMMPS, a robust statistical method for detecting splicing quantitative trait loci (sQTLs) from RNA-seq data. GLiMMPS takes into account the individual variation in sequencing coverage and the noise prevalent in RNA-seq data. Analyses of simulated and real RNA-seq datasets demonstrate that GLiMMPS outperforms competing statistical models. Quantitative RT-PCR tests of 26 randomly selected GLiMMPS sQTLs yielded a validation rate of 100%. As population-scale RNA-seq studies become increasingly affordable and popular, GLiMMPS provides a useful tool for elucidating the genetic variation of alternative splicing in humans and model organisms. |
X Demographics
The data shown below were collected from the profiles of 11 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 | 3 | 27% |
| Germany | 1 | 9% |
| Australia | 1 | 9% |
| United Kingdom | 1 | 9% |
| France | 1 | 9% |
| Montenegro | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 55% |
| Members of the public | 4 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| Korea, Republic of | 1 | <1% |
| Germany | 1 | <1% |
| Belgium | 1 | <1% |
| Sweden | 1 | <1% |
| Unknown | 137 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 54 | 37% |
| Researcher | 40 | 27% |
| Student > Master | 9 | 6% |
| Professor > Associate Professor | 7 | 5% |
| Student > Doctoral Student | 6 | 4% |
| Other | 18 | 12% |
| Unknown | 12 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 77 | 53% |
| Biochemistry, Genetics and Molecular Biology | 28 | 19% |
| Computer Science | 12 | 8% |
| Mathematics | 3 | 2% |
| Medicine and Dentistry | 3 | 2% |
| Other | 6 | 4% |
| Unknown | 17 | 12% |
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 18 January 2022.
All research outputs
#1,716,909
of 25,374,917 outputs
Outputs from Genome Biology
#1,409
of 4,467 outputs
Outputs of similar age
#14,487
of 209,344 outputs
Outputs of similar age from Genome Biology
#14
of 64 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 93rd percentile: it's in the top 10% 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 gotten more attention than average, scoring higher than 68% 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 209,344 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 93% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.