Title |
Microscopy versus automated imaging flow cytometry for detecting and identifying rare zooplankton
|
---|---|
Published in |
Hydrobiologia, October 2017
|
DOI | 10.1007/s10750-017-3382-1 |
Authors |
Keara Stanislawczyk, Mattias L. Johansson, Hugh J. MacIsaac |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 50% |
Scientists | 1 | 25% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 11 | 32% |
Student > Master | 6 | 18% |
Student > Ph. D. Student | 5 | 15% |
Student > Bachelor | 3 | 9% |
Student > Doctoral Student | 2 | 6% |
Other | 3 | 9% |
Unknown | 4 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 12 | 35% |
Environmental Science | 7 | 21% |
Biochemistry, Genetics and Molecular Biology | 4 | 12% |
Economics, Econometrics and Finance | 2 | 6% |
Computer Science | 1 | 3% |
Other | 5 | 15% |
Unknown | 3 | 9% |