| Title |
Rapid publication-ready MS-Word tables for one-way ANOVA
|
|---|---|
| Published in |
SpringerPlus, August 2014
|
| DOI | 10.1186/2193-1801-3-474 |
| Pubmed ID | |
| Authors |
Houssein I Assaad, Lan Zhou, Raymond J Carroll, Guoyao Wu |
| Abstract |
Statistical tables are an important component of data analysis and reports in biological sciences. However, the traditional manual processes for computation and presentation of statistically significant results using a letter-based algorithm are tedious and prone to errors. |
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 % |
|---|---|---|
| Australia | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 2% |
| Armenia | 1 | 2% |
| Italy | 1 | 2% |
| United Kingdom | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 58 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 10 | 16% |
| Student > Ph. D. Student | 8 | 13% |
| Student > Master | 7 | 11% |
| Researcher | 6 | 10% |
| Other | 4 | 6% |
| Other | 9 | 14% |
| Unknown | 19 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 24% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Environmental Science | 3 | 5% |
| Medicine and Dentistry | 3 | 5% |
| Chemistry | 3 | 5% |
| Other | 13 | 21% |
| Unknown | 22 | 35% |
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 20 August 2018.
All research outputs
#14,199,380
of 22,761,738 outputs
Outputs from SpringerPlus
#769
of 1,852 outputs
Outputs of similar age
#121,395
of 236,468 outputs
Outputs of similar age from SpringerPlus
#47
of 105 outputs
Altmetric has tracked 22,761,738 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,852 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 55% 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 236,468 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 105 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.