| Title |
Multivariate Analysis of Multiple Datasets: a Practical Guide for Chemical Ecology
|
|---|---|
| Published in |
Journal of Chemical Ecology, February 2018
|
| DOI | 10.1007/s10886-018-0932-6 |
| Pubmed ID | |
| Authors |
Maxime R. Hervé, Florence Nicolè, Kim-Anh Lê Cao |
| Abstract |
Chemical ecology has strong links with metabolomics, the large-scale study of all metabolites detectable in a biological sample. Consequently, chemical ecologists are often challenged by the statistical analyses of such large datasets. This holds especially true when the purpose is to integrate multiple datasets to obtain a holistic view and a better understanding of a biological system under study. The present article provides a comprehensive resource to analyze such complex datasets using multivariate methods. It starts from the necessary pre-treatment of data including data transformations and distance calculations, to the application of both gold standard and novel multivariate methods for the integration of different omics data. We illustrate the process of analysis along with detailed results interpretations for six issues representative of the different types of biological questions encountered by chemical ecologists. We provide the necessary knowledge and tools with reproducible R codes and chemical-ecological datasets to practice and teach multivariate methods. |
X Demographics
The data shown below were collected from the profiles of 30 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 | 5 | 17% |
| Canada | 3 | 10% |
| Germany | 3 | 10% |
| France | 2 | 7% |
| Netherlands | 2 | 7% |
| Australia | 2 | 7% |
| Brazil | 1 | 3% |
| India | 1 | 3% |
| Chile | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 10 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 63% |
| Scientists | 10 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 181 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 39 | 22% |
| Student > Ph. D. Student | 38 | 21% |
| Student > Master | 25 | 14% |
| Student > Bachelor | 13 | 7% |
| Student > Doctoral Student | 9 | 5% |
| Other | 27 | 15% |
| Unknown | 30 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 65 | 36% |
| Environmental Science | 21 | 12% |
| Biochemistry, Genetics and Molecular Biology | 14 | 8% |
| Chemistry | 11 | 6% |
| Medicine and Dentistry | 5 | 3% |
| Other | 22 | 12% |
| Unknown | 43 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 13 January 2021.
All research outputs
#2,014,706
of 25,335,657 outputs
Outputs from Journal of Chemical Ecology
#84
of 2,155 outputs
Outputs of similar age
#41,832
of 336,757 outputs
Outputs of similar age from Journal of Chemical Ecology
#5
of 27 outputs
Altmetric has tracked 25,335,657 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,155 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 96% 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 336,757 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 87% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.