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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Simulating ComBat: how batch correction can lead to the systematic introduction of false positive results in DNA methylation microarray studies
|
|---|---|
| Published in |
BMC Bioinformatics, June 2020
|
| DOI | 10.1186/s12859-020-03559-6 |
| Pubmed ID | |
| Authors |
Tristan Zindler, Helge Frieling, Alexandra Neyazi, Stefan Bleich, Eva Friedel |
X Demographics
The data shown below were collected from the profiles of 8 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 | 3 | 38% |
| Japan | 2 | 25% |
| Germany | 1 | 13% |
| India | 1 | 13% |
| Unknown | 1 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 63% |
| Members of the public | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 29% |
| Researcher | 10 | 14% |
| Student > Master | 5 | 7% |
| Other | 4 | 6% |
| Student > Bachelor | 3 | 4% |
| Other | 7 | 10% |
| Unknown | 20 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 22 | 32% |
| Medicine and Dentistry | 5 | 7% |
| Computer Science | 3 | 4% |
| Neuroscience | 3 | 4% |
| Social Sciences | 2 | 3% |
| Other | 10 | 14% |
| Unknown | 24 | 35% |
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 14 August 2022.
All research outputs
#6,389,225
of 24,267,449 outputs
Outputs from BMC Bioinformatics
#2,266
of 7,510 outputs
Outputs of similar age
#131,364
of 402,082 outputs
Outputs of similar age from BMC Bioinformatics
#54
of 124 outputs
Altmetric has tracked 24,267,449 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,510 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 69% 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 402,082 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 67% of its contemporaries.
We're also able to compare this research output to 124 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 57% of its contemporaries.