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X Demographics
Mendeley readers
Chapter title |
Using Machine Learning for Automatic Estimation of M. Smegmatis Cell Count from Fluorescence Microscopy Images
|
---|---|
Chapter number | 6 |
Book title |
Precision Health and Medicine
|
Published by |
Springer, Cham, January 2019
|
DOI | 10.1007/978-3-030-24409-5_6 |
Book ISBNs |
978-3-03-024408-8, 978-3-03-024409-5
|
Authors |
Daniel Vente, Ognjen Arandjelović, Vincent O. Baron, Evelin Dombay, Stephen H. Gillespie, Vente, Daniel, Arandjelović, Ognjen, Baron, Vincent O., Dombay, Evelin, Gillespie, Stephen H. |
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 % |
---|---|---|
Uganda | 1 | 33% |
United Kingdom | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 43% |
Librarian | 1 | 14% |
Student > Doctoral Student | 1 | 14% |
Student > Master | 1 | 14% |
Unknown | 1 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 2 | 29% |
Engineering | 2 | 29% |
Medicine and Dentistry | 1 | 14% |
Immunology and Microbiology | 1 | 14% |
Unknown | 1 | 14% |