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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A fast algorithm for determining bounds and accurate approximate p-values of the rank product statistic for replicate experiments
|
|---|---|
| Published in |
BMC Bioinformatics, November 2014
|
| DOI | 10.1186/s12859-014-0367-1 |
| Authors |
Tom Heskes, Rob Eisinga, Rainer Breitling |
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 % |
|---|---|---|
| Norway | 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Poland | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 54 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 27% |
| Student > Ph. D. Student | 12 | 21% |
| Student > Master | 4 | 7% |
| Professor > Associate Professor | 3 | 5% |
| Other | 2 | 4% |
| Other | 3 | 5% |
| Unknown | 17 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 29% |
| Biochemistry, Genetics and Molecular Biology | 11 | 20% |
| Computer Science | 5 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Immunology and Microbiology | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 18 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 09 July 2016.
All research outputs
#6,491,493
of 23,866,543 outputs
Outputs from BMC Bioinformatics
#2,390
of 7,454 outputs
Outputs of similar age
#86,875
of 367,276 outputs
Outputs of similar age from BMC Bioinformatics
#42
of 136 outputs
Altmetric has tracked 23,866,543 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,454 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 67% 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 367,276 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 75% of its contemporaries.
We're also able to compare this research output to 136 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.