| Title |
Transcriptome structure variability in Saccharomyces cerevisiae strains determined with a newly developed assembly software
|
|---|---|
| Published in |
BMC Genomics, December 2014
|
| DOI | 10.1186/1471-2164-15-1045 |
| Pubmed ID | |
| Authors |
Alessandro Sardu, Laura Treu, Stefano Campanaro |
| Abstract |
RNA-seq studies have an important role for both large-scale analysis of gene expression and for transcriptome reconstruction. However, the lack of software specifically developed for the analysis of the transcriptome structure in lower eukaryotes, has so far limited the comparative studies among different species and strains. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 2% |
| Thailand | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 41 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 27% |
| Student > Ph. D. Student | 7 | 16% |
| Student > Master | 6 | 14% |
| Student > Doctoral Student | 5 | 11% |
| Student > Bachelor | 3 | 7% |
| Other | 6 | 14% |
| Unknown | 5 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 57% |
| Biochemistry, Genetics and Molecular Biology | 7 | 16% |
| Social Sciences | 2 | 5% |
| Business, Management and Accounting | 1 | 2% |
| Environmental Science | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 7 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 01 December 2014.
All research outputs
#18,385,510
of 22,772,779 outputs
Outputs from BMC Genomics
#8,170
of 10,641 outputs
Outputs of similar age
#261,726
of 361,405 outputs
Outputs of similar age from BMC Genomics
#187
of 245 outputs
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So far Altmetric has tracked 10,641 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 245 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.