| Title |
Boxplots for grouped and clustered data in toxicology
|
|---|---|
| Published in |
Archives of Toxicology, October 2015
|
| DOI | 10.1007/s00204-015-1608-4 |
| Pubmed ID | |
| Authors |
Philip Pallmann, Ludwig A. Hothorn |
| Abstract |
The vast majority of toxicological papers summarize experimental data as bar charts of means with error bars. While these graphics are easy to generate, they often obscure essential features of the data, such as outliers or subgroups of individuals reacting differently to a treatment. In particular, raw values are of prime importance in toxicology; therefore, we argue they should not be hidden in messy supplementary tables but rather unveiled in neat graphics in the results section. We propose jittered boxplots as a very compact yet comprehensive and intuitively accessible way of visualizing grouped and clustered data from toxicological studies together with individual raw values and indications of statistical significance. A web application to create these plots is available online. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 20% |
| Germany | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 29% |
| Student > Ph. D. Student | 5 | 21% |
| Lecturer | 3 | 13% |
| Student > Postgraduate | 2 | 8% |
| Student > Doctoral Student | 1 | 4% |
| Other | 4 | 17% |
| Unknown | 2 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 33% |
| Medicine and Dentistry | 2 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 8% |
| Immunology and Microbiology | 2 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Other | 5 | 21% |
| Unknown | 4 | 17% |
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 26 June 2020.
All research outputs
#12,940,187
of 22,835,198 outputs
Outputs from Archives of Toxicology
#1,847
of 2,640 outputs
Outputs of similar age
#123,328
of 277,508 outputs
Outputs of similar age from Archives of Toxicology
#11
of 23 outputs
Altmetric has tracked 22,835,198 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 2,640 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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We're also able to compare this research output to 23 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 52% of its contemporaries.