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 |
Towards accurate detection and genotyping of expressed variants from whole transcriptome sequencing data
|
|---|---|
| Published in |
BMC Genomics, April 2012
|
| DOI | 10.1186/1471-2164-13-s2-s6 |
| Pubmed ID | |
| Authors |
Jorge Duitama, Pramod K Srivastava, Ion I Măndoiu |
| Abstract |
Massively parallel transcriptome sequencing (RNA-Seq) is becoming the method of choice for studying functional effects of genetic variability and establishing causal relationships between genetic variants and disease. However, RNA-Seq poses new technical and computational challenges compared to genome sequencing. In particular, mapping transcriptome reads onto the genome is more challenging than mapping genomic reads due to splicing. Furthermore, detection and genotyping of single nucleotide variants (SNVs) requires statistical models that are robust to variability in read coverage due to unequal transcript expression levels. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 33% |
| United States | 2 | 33% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Members of the public | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Colombia | 2 | 2% |
| Belgium | 2 | 2% |
| Brazil | 1 | 1% |
| Portugal | 1 | 1% |
| Russia | 1 | 1% |
| France | 1 | 1% |
| Unknown | 74 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 38% |
| Researcher | 24 | 28% |
| Professor > Associate Professor | 5 | 6% |
| Student > Master | 4 | 5% |
| Student > Doctoral Student | 3 | 4% |
| Other | 8 | 9% |
| Unknown | 9 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 56 | 66% |
| Biochemistry, Genetics and Molecular Biology | 6 | 7% |
| Medicine and Dentistry | 4 | 5% |
| Environmental Science | 2 | 2% |
| Immunology and Microbiology | 2 | 2% |
| Other | 2 | 2% |
| Unknown | 13 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 April 2014.
All research outputs
#1,944,741
of 25,374,647 outputs
Outputs from BMC Genomics
#435
of 11,244 outputs
Outputs of similar age
#11,178
of 174,048 outputs
Outputs of similar age from BMC Genomics
#2
of 92 outputs
Altmetric has tracked 25,374,647 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 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 96% 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 174,048 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 93% of its contemporaries.
We're also able to compare this research output to 92 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.