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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modeling the next generation sequencing sample processing pipeline for the purposes of classification
|
|---|---|
| Published in |
BMC Bioinformatics, October 2013
|
| DOI | 10.1186/1471-2105-14-307 |
| Pubmed ID | |
| Authors |
Noushin Ghaffari, Mohammadmahdi R Yousefi, Charles D Johnson, Ivan Ivanov, Edward R Dougherty |
| Abstract |
A key goal of systems biology and translational genomics is to utilize high-throughput measurements of cellular states to develop expression-based classifiers for discriminating among different phenotypes. Recent developments of Next Generation Sequencing (NGS) technologies can facilitate classifier design by providing expression measurements for tens of thousands of genes simultaneously via the abundance of their mRNA transcripts. Because NGS technologies result in a nonlinear transformation of the actual expression distributions, their application can result in data that are less discriminative than would be the actual expression levels themselves, were they directly observable. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
| India | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 5% |
| Norway | 1 | 2% |
| Saudi Arabia | 1 | 2% |
| Brazil | 1 | 2% |
| Russia | 1 | 2% |
| Denmark | 1 | 2% |
| Unknown | 48 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 38% |
| Student > Ph. D. Student | 15 | 27% |
| Professor | 4 | 7% |
| Professor > Associate Professor | 3 | 5% |
| Student > Bachelor | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 5 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 46% |
| Biochemistry, Genetics and Molecular Biology | 11 | 20% |
| Computer Science | 7 | 13% |
| Mathematics | 1 | 2% |
| Environmental Science | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 8 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 04 November 2013.
All research outputs
#3,042,748
of 22,725,280 outputs
Outputs from BMC Bioinformatics
#1,074
of 7,262 outputs
Outputs of similar age
#29,493
of 210,284 outputs
Outputs of similar age from BMC Bioinformatics
#15
of 106 outputs
Altmetric has tracked 22,725,280 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,262 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 done well, scoring higher than 85% 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 210,284 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 106 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.