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X Demographics
Mendeley readers
Chapter title |
scMCA: A Tool to Define Mouse Cell Types Based on Single-Cell Digital Expression
|
---|---|
Chapter number | 6 |
Book title |
Computational Methods for Single-Cell Data Analysis
|
Published by |
Humana Press, New York, NY, February 2019
|
DOI | 10.1007/978-1-4939-9057-3_6 |
Pubmed ID | |
Book ISBNs |
978-1-4939-9056-6, 978-1-4939-9057-3
|
Authors |
Huiyu Sun, Yincong Zhou, Lijiang Fei, Haide Chen, Guoji Guo, Sun, Huiyu, Zhou, Yincong, Fei, Lijiang, Chen, Haide, Guo, Guoji |
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 % |
---|---|---|
United States | 3 | 75% |
Austria | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 25 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 40% |
Student > Bachelor | 2 | 8% |
Student > Master | 2 | 8% |
Researcher | 1 | 4% |
Student > Postgraduate | 1 | 4% |
Other | 0 | 0% |
Unknown | 9 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 8 | 32% |
Immunology and Microbiology | 2 | 8% |
Veterinary Science and Veterinary Medicine | 1 | 4% |
Computer Science | 1 | 4% |
Agricultural and Biological Sciences | 1 | 4% |
Other | 2 | 8% |
Unknown | 10 | 40% |