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X Demographics
Mendeley readers
Attention Score in Context
| Title |
NURD: an implementation of a new method to estimate isoform expression from non-uniform RNA-seq data
|
|---|---|
| Published in |
BMC Bioinformatics, July 2013
|
| DOI | 10.1186/1471-2105-14-220 |
| Pubmed ID | |
| Authors |
Xinyun Ma, Xuegong Zhang |
| Abstract |
RNA-Seq technology has been used widely in transcriptome study, and one of the most important applications is to estimate the expression level of genes and their alternative splicing isoforms. There have been several algorithms published to estimate the expression based on different models. Recently Wu et al. published a method that can accurately estimate isoform level expression by considering position-related sequencing biases using nonparametric models. The method has advantages in handling different read distributions, but there hasn't been an efficient program to implement this algorithm. |
X Demographics
The data shown below were collected from the profiles of 12 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 | 33% |
| France | 2 | 17% |
| United Kingdom | 1 | 8% |
| New Zealand | 1 | 8% |
| Poland | 1 | 8% |
| Unknown | 3 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 11 | 92% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Netherlands | 1 | <1% |
| France | 1 | <1% |
| Germany | 1 | <1% |
| New Zealand | 1 | <1% |
| United Kingdom | 1 | <1% |
| Russia | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 109 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 35 | 29% |
| Student > Ph. D. Student | 32 | 27% |
| Student > Master | 19 | 16% |
| Other | 9 | 8% |
| Professor > Associate Professor | 7 | 6% |
| Other | 13 | 11% |
| Unknown | 4 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 62 | 52% |
| Biochemistry, Genetics and Molecular Biology | 21 | 18% |
| Computer Science | 11 | 9% |
| Medicine and Dentistry | 5 | 4% |
| Engineering | 2 | 2% |
| Other | 9 | 8% |
| Unknown | 9 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 24 August 2013.
All research outputs
#2,369,589
of 23,607,611 outputs
Outputs from BMC Bioinformatics
#667
of 7,409 outputs
Outputs of similar age
#20,593
of 195,550 outputs
Outputs of similar age from BMC Bioinformatics
#16
of 96 outputs
Altmetric has tracked 23,607,611 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,409 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 90% 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 195,550 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 96 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.