You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
A survey of software for genome-wide discovery of differential splicing in RNA-Seq data
|
|---|---|
| Published in |
Human Genomics, January 2014
|
| DOI | 10.1186/1479-7364-8-3 |
| Pubmed ID | |
| Authors |
Joan E Hooper |
| Abstract |
Alternative splicing is a major contributor to cellular diversity. Therefore the identification and quantification of differentially spliced transcripts in genome-wide transcript analysis is an important consideration. Here, I review the software available for analysis of RNA-Seq data for differential splicing and discuss intrinsic challenges for differential splicing analyses. Three approaches to differential splicing analysis are described, along with their associated software implementations, their strengths, limitations, and caveats. Suggestions for future work include more extensive experimental validation to assess accuracy of the software predictions and consensus formats for outputs that would facilitate visualizations, data exchange, and downstream analyses. |
X Demographics
The data shown below were collected from the profiles of 48 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 | 15 | 31% |
| United Kingdom | 7 | 15% |
| France | 3 | 6% |
| Spain | 3 | 6% |
| Australia | 2 | 4% |
| Montenegro | 1 | 2% |
| Israel | 1 | 2% |
| Kenya | 1 | 2% |
| Germany | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 11 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 27 | 56% |
| Members of the public | 20 | 42% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 270 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 3% |
| United Kingdom | 5 | 2% |
| Germany | 2 | <1% |
| France | 1 | <1% |
| Italy | 1 | <1% |
| Switzerland | 1 | <1% |
| Netherlands | 1 | <1% |
| Czechia | 1 | <1% |
| Canada | 1 | <1% |
| Other | 5 | 2% |
| Unknown | 245 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 82 | 30% |
| Researcher | 76 | 28% |
| Student > Master | 25 | 9% |
| Professor > Associate Professor | 13 | 5% |
| Student > Doctoral Student | 12 | 4% |
| Other | 44 | 16% |
| Unknown | 18 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 135 | 50% |
| Biochemistry, Genetics and Molecular Biology | 57 | 21% |
| Medicine and Dentistry | 12 | 4% |
| Computer Science | 10 | 4% |
| Mathematics | 6 | 2% |
| Other | 24 | 9% |
| Unknown | 26 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 02 December 2016.
All research outputs
#1,343,082
of 25,374,917 outputs
Outputs from Human Genomics
#27
of 564 outputs
Outputs of similar age
#14,873
of 321,172 outputs
Outputs of similar age from Human Genomics
#1
of 7 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 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 564 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 95% 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 321,172 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 95% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them