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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
A Method for Cross-Species Visualization and Analysis of RNA-Sequence Data
|
|---|---|
| Chapter number | 14 |
| Book title |
Systems Biology
|
| Published in |
Methods in molecular biology, November 2017
|
| DOI | 10.1007/978-1-4939-7456-6_14 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7455-9, 978-1-4939-7456-6
|
| Authors |
Ramsey, Stephen A., Stephen A. Ramsey |
| Abstract |
In this methods article, I describe a computational workflow for cross-species visualization and comparison of mRNA-seq transcriptome profiling data. The workflow is based on gene set variation analysis (GSVA) and is illustrated using commands in the R programming language. I provide a complete step-by-step procedure for the workflow using mRNA-seq data sets from dog and human bladder cancer as an example. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 35% |
| Student > Ph. D. Student | 5 | 29% |
| Student > Bachelor | 2 | 12% |
| Other | 1 | 6% |
| Student > Master | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 1 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 41% |
| Veterinary Science and Veterinary Medicine | 2 | 12% |
| Agricultural and Biological Sciences | 2 | 12% |
| Environmental Science | 1 | 6% |
| Computer Science | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 3 | 18% |
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 10 November 2017.
All research outputs
#15,483,026
of 23,007,887 outputs
Outputs from Methods in molecular biology
#5,388
of 13,157 outputs
Outputs of similar age
#207,465
of 331,173 outputs
Outputs of similar age from Methods in molecular biology
#23
of 42 outputs
Altmetric has tracked 23,007,887 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,157 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 331,173 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.