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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The impact of quantile and rank normalization procedures on the testing power of gene differential expression analysis
|
|---|---|
| Published in |
BMC Bioinformatics, April 2013
|
| DOI | 10.1186/1471-2105-14-124 |
| Pubmed ID | |
| Authors |
Xing Qiu, Hulin Wu, Rui Hu |
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 States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| Denmark | 3 | 2% |
| Australia | 1 | <1% |
| Sweden | 1 | <1% |
| South Africa | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| China | 1 | <1% |
| Unknown | 142 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 45 | 29% |
| Student > Ph. D. Student | 28 | 18% |
| Student > Master | 20 | 13% |
| Student > Doctoral Student | 9 | 6% |
| Student > Bachelor | 9 | 6% |
| Other | 25 | 16% |
| Unknown | 18 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 56 | 36% |
| Biochemistry, Genetics and Molecular Biology | 29 | 19% |
| Computer Science | 9 | 6% |
| Mathematics | 9 | 6% |
| Medicine and Dentistry | 8 | 5% |
| Other | 18 | 12% |
| Unknown | 25 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 06 November 2013.
All research outputs
#16,443,300
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#5,087
of 7,763 outputs
Outputs of similar age
#127,978
of 214,573 outputs
Outputs of similar age from BMC Bioinformatics
#92
of 138 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,763 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 30th percentile – i.e., 30% 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 214,573 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.