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| Chapter title |
Scalable Workflows and Reproducible Data Analysis for Genomics
|
|---|---|
| Chapter number | 24 |
| Book title |
Evolutionary Genomics
|
| Published by |
Humana, New York, NY, July 2019
|
| DOI | 10.1007/978-1-4939-9074-0_24 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-9073-3, 978-1-4939-9074-0
|
| Authors |
Francesco Strozzi, Roel Janssen, Ricardo Wurmus, Michael R. Crusoe, George Githinji, Paolo Di Tommaso, Dominique Belhachemi, Steffen Möller, Geert Smant, Joep de Ligt, Pjotr Prins |
Twitter Demographics
The data shown below were collected from the profiles of 10 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 20% |
| New Zealand | 1 | 10% |
| Kenya | 1 | 10% |
| France | 1 | 10% |
| United Kingdom | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 80% |
| Members of the public | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 39% |
| Researcher | 5 | 16% |
| Professor > Associate Professor | 2 | 6% |
| Other | 2 | 6% |
| Student > Master | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 4 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 29% |
| Computer Science | 8 | 26% |
| Biochemistry, Genetics and Molecular Biology | 7 | 23% |
| Environmental Science | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 5 | 16% |