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X Demographics
Mendeley readers
Chapter title |
Preprocessing and Computational Analysis of Single-Cell Epigenomic Datasets
|
---|---|
Chapter number | 13 |
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_13 |
Pubmed ID | |
Book ISBNs |
978-1-4939-9056-6, 978-1-4939-9057-3
|
Authors |
Caleb Lareau, Divy Kangeyan, Martin J. Aryee, Lareau, Caleb, Kangeyan, Divy, Aryee, Martin J. |
X Demographics
The data shown below were collected from the profiles of 2 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 Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 32% |
Student > Ph. D. Student | 4 | 18% |
Student > Master | 3 | 14% |
Student > Postgraduate | 2 | 9% |
Student > Bachelor | 1 | 5% |
Other | 2 | 9% |
Unknown | 3 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 10 | 45% |
Agricultural and Biological Sciences | 2 | 9% |
Nursing and Health Professions | 1 | 5% |
Computer Science | 1 | 5% |
Medicine and Dentistry | 1 | 5% |
Other | 2 | 9% |
Unknown | 5 | 23% |