| Title |
How to do quantile normalization correctly for gene expression data analyses
|
|---|---|
| Published in |
Scientific Reports, September 2020
|
| DOI | 10.1038/s41598-020-72664-6 |
| Pubmed ID | |
| Authors |
Yaxing Zhao, Limsoon Wong, Wilson Wen Bin Goh |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 178 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 35 | 20% |
| Student > Bachelor | 20 | 11% |
| Researcher | 19 | 11% |
| Student > Master | 19 | 11% |
| Student > Doctoral Student | 12 | 7% |
| Other | 12 | 7% |
| Unknown | 61 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 56 | 31% |
| Agricultural and Biological Sciences | 19 | 11% |
| Computer Science | 6 | 3% |
| Medicine and Dentistry | 6 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 3% |
| Other | 21 | 12% |
| Unknown | 65 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 15 October 2020.
All research outputs
#13,342,744
of 23,243,271 outputs
Outputs from Scientific Reports
#58,976
of 125,649 outputs
Outputs of similar age
#194,043
of 408,723 outputs
Outputs of similar age from Scientific Reports
#1,999
of 4,024 outputs
Altmetric has tracked 23,243,271 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 125,649 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has gotten more attention than average, scoring higher than 52% 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 408,723 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 51% of its contemporaries.
We're also able to compare this research output to 4,024 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.