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X Demographics
Mendeley readers
Attention Score in Context
| Title |
spliceR: an R package for classification of alternative splicing and prediction of coding potential from RNA-seq data
|
|---|---|
| Published in |
BMC Bioinformatics, March 2014
|
| DOI | 10.1186/1471-2105-15-81 |
| Pubmed ID | |
| Authors |
Kristoffer Vitting-Seerup, Bo Torben Porse, Albin Sandelin, Johannes Waage |
| Abstract |
RNA-seq data is currently underutilized, in part because it is difficult to predict the functional impact of alternate transcription events. Recent software improvements in full-length transcript deconvolution prompted us to develop spliceR, an R package for classification of alternative splicing and prediction of coding potential. |
X Demographics
The data shown below were collected from the profiles of 28 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 | 25% |
| Spain | 2 | 7% |
| Denmark | 2 | 7% |
| Japan | 2 | 7% |
| Germany | 2 | 7% |
| Canada | 1 | 4% |
| India | 1 | 4% |
| Mexico | 1 | 4% |
| United Kingdom | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 7 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 15 | 54% |
| Members of the public | 12 | 43% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 272 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 4% |
| United Kingdom | 5 | 2% |
| Germany | 2 | <1% |
| Brazil | 2 | <1% |
| Italy | 1 | <1% |
| Ireland | 1 | <1% |
| Netherlands | 1 | <1% |
| Denmark | 1 | <1% |
| France | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 245 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 70 | 26% |
| Student > Ph. D. Student | 62 | 23% |
| Student > Master | 35 | 13% |
| Student > Bachelor | 18 | 7% |
| Other | 15 | 6% |
| Other | 39 | 14% |
| Unknown | 33 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 121 | 44% |
| Biochemistry, Genetics and Molecular Biology | 65 | 24% |
| Computer Science | 19 | 7% |
| Medicine and Dentistry | 7 | 3% |
| Engineering | 7 | 3% |
| Other | 17 | 6% |
| Unknown | 36 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 30. 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 January 2024.
All research outputs
#1,328,651
of 25,707,225 outputs
Outputs from BMC Bioinformatics
#140
of 7,735 outputs
Outputs of similar age
#12,728
of 237,677 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 97 outputs
Altmetric has tracked 25,707,225 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 7,735 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 98% 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 237,677 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 97 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 97% of its contemporaries.