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X Demographics
Mendeley readers
Chapter title |
Network Inference from Single-Cell Transcriptomic Data
|
---|---|
Chapter number | 10 |
Book title |
Gene Regulatory Networks
|
Published by |
Humana Press, New York, NY, December 2018
|
DOI | 10.1007/978-1-4939-8882-2_10 |
Pubmed ID | |
Book ISBNs |
978-1-4939-8881-5, 978-1-4939-8882-2
|
Authors |
Helena Todorov, Robrecht Cannoodt, Wouter Saelens, Yvan Saeys, Todorov, Helena, Cannoodt, Robrecht, Saelens, Wouter, Saeys, Yvan |
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 States | 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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 77 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 21 | 27% |
Student > Master | 14 | 18% |
Student > Bachelor | 8 | 10% |
Researcher | 8 | 10% |
Student > Doctoral Student | 5 | 6% |
Other | 6 | 8% |
Unknown | 15 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 27 | 35% |
Agricultural and Biological Sciences | 10 | 13% |
Computer Science | 7 | 9% |
Medicine and Dentistry | 5 | 6% |
Mathematics | 3 | 4% |
Other | 7 | 9% |
Unknown | 18 | 23% |