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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computational approaches for isoform detection and estimation: good and bad news
|
|---|---|
| Published in |
BMC Bioinformatics, May 2014
|
| DOI | 10.1186/1471-2105-15-135 |
| Pubmed ID | |
| Authors |
Claudia Angelini, Daniela De Canditiis, Italia De Feis |
| Abstract |
The main goal of the whole transcriptome analysis is to correctly identify all expressed transcripts within a specific cell/tissue--at a particular stage and condition--to determine their structures and to measure their abundances. RNA-seq data promise to allow identification and quantification of transcriptome at unprecedented level of resolution, accuracy and low cost. Several computational methods have been proposed to achieve such purposes. However, it is still not clear which promises are already met and which challenges are still open and require further methodological developments. |
X Demographics
The data shown below were collected from the profiles of 23 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 | 30% |
| United Kingdom | 2 | 9% |
| India | 1 | 4% |
| Switzerland | 1 | 4% |
| Australia | 1 | 4% |
| Israel | 1 | 4% |
| Germany | 1 | 4% |
| Canada | 1 | 4% |
| Norway | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 6 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 13 | 57% |
| Members of the public | 10 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| United Kingdom | 3 | 2% |
| Germany | 2 | 2% |
| Netherlands | 1 | <1% |
| Norway | 1 | <1% |
| Ireland | 1 | <1% |
| Portugal | 1 | <1% |
| Switzerland | 1 | <1% |
| Italy | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 111 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 38 | 30% |
| Student > Ph. D. Student | 33 | 26% |
| Student > Master | 10 | 8% |
| Student > Bachelor | 10 | 8% |
| Professor > Associate Professor | 9 | 7% |
| Other | 21 | 17% |
| Unknown | 6 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 70 | 55% |
| Biochemistry, Genetics and Molecular Biology | 27 | 21% |
| Computer Science | 11 | 9% |
| Engineering | 3 | 2% |
| Medicine and Dentistry | 2 | 2% |
| Other | 3 | 2% |
| Unknown | 11 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 December 2014.
All research outputs
#2,012,003
of 25,363,685 outputs
Outputs from BMC Bioinformatics
#431
of 7,692 outputs
Outputs of similar age
#19,790
of 241,744 outputs
Outputs of similar age from BMC Bioinformatics
#9
of 146 outputs
Altmetric has tracked 25,363,685 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,692 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 94% 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 241,744 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 91% of its contemporaries.
We're also able to compare this research output to 146 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 94% of its contemporaries.