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X Demographics
Mendeley readers
Chapter title |
Rare Cell Type Detection
|
---|---|
Chapter number | 5 |
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_5 |
Pubmed ID | |
Book ISBNs |
978-1-4939-9056-6, 978-1-4939-9057-3
|
Authors |
Lan Jiang, Jiang, Lan |
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 % |
---|---|---|
China | 1 | 25% |
Austria | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 51 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 18% |
Student > Ph. D. Student | 8 | 16% |
Student > Master | 6 | 12% |
Student > Doctoral Student | 4 | 8% |
Student > Postgraduate | 3 | 6% |
Other | 7 | 14% |
Unknown | 14 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 17 | 33% |
Agricultural and Biological Sciences | 6 | 12% |
Computer Science | 3 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
Environmental Science | 2 | 4% |
Other | 6 | 12% |
Unknown | 15 | 29% |