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Mendeley readers
Attention Score in Context
| Title |
IsoformEx: isoform level gene expression estimation using weighted non-negative least squares from mRNA-Seq data
|
|---|---|
| Published in |
BMC Bioinformatics, July 2011
|
| DOI | 10.1186/1471-2105-12-305 |
| Pubmed ID | |
| Authors |
Hyunsoo Kim, Yingtao Bi, Sharmistha Pal, Ravi Gupta, Ramana V Davuluri |
| Abstract |
mRNA-Seq technology has revolutionized the field of transcriptomics for identification and quantification of gene transcripts not only at gene level but also at isoform level. Estimating the expression levels of transcript isoforms from mRNA-Seq data is a challenging problem due to the presence of constitutive exons. |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 8% |
| Spain | 2 | 3% |
| France | 1 | 2% |
| Italy | 1 | 2% |
| Canada | 1 | 2% |
| Germany | 1 | 2% |
| United Kingdom | 1 | 2% |
| Russia | 1 | 2% |
| Unknown | 47 | 78% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 32% |
| Student > Ph. D. Student | 14 | 23% |
| Professor | 5 | 8% |
| Professor > Associate Professor | 5 | 8% |
| Student > Master | 4 | 7% |
| Other | 9 | 15% |
| Unknown | 4 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 58% |
| Computer Science | 9 | 15% |
| Biochemistry, Genetics and Molecular Biology | 6 | 10% |
| Mathematics | 2 | 3% |
| Engineering | 2 | 3% |
| Other | 1 | 2% |
| Unknown | 5 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 07 June 2012.
All research outputs
#5,716,520
of 22,710,079 outputs
Outputs from BMC Bioinformatics
#2,138
of 7,259 outputs
Outputs of similar age
#32,166
of 119,612 outputs
Outputs of similar age from BMC Bioinformatics
#28
of 84 outputs
Altmetric has tracked 22,710,079 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 7,259 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 gotten more attention than average, scoring higher than 70% 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 119,612 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.