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X Demographics
Mendeley readers
Title |
Advances in Computational Toxicology
|
---|---|
Published by |
Springer International Publishing, August 2019
|
DOI | 10.1007/978-3-030-16443-0 |
ISBNs |
978-3-03-016442-3, 978-3-03-016443-0
|
Editors |
Hong, Huixiao |
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 | 2 | 50% |
Unknown | 2 | 50% |
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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 4% |
Brazil | 1 | 4% |
Unknown | 22 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 6 | 25% |
Student > Ph. D. Student | 4 | 17% |
Researcher | 4 | 17% |
Student > Doctoral Student | 2 | 8% |
Professor > Associate Professor | 2 | 8% |
Other | 3 | 13% |
Unknown | 3 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 8 | 33% |
Biochemistry, Genetics and Molecular Biology | 3 | 13% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 8% |
Computer Science | 2 | 8% |
Physics and Astronomy | 2 | 8% |
Other | 4 | 17% |
Unknown | 3 | 13% |