You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Title |
Linear Algebra and Optimization for Machine Learning
|
---|---|
Published by |
Springer International Publishing, July 2020
|
DOI | 10.1007/978-3-030-40344-7 |
ISBNs |
978-3-03-040343-0, 978-3-03-040344-7
|
Authors |
Aggarwal, Charu C. |
X Demographics
The data shown below were collected from the profiles of 120 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 | 16 | 13% |
United Kingdom | 6 | 5% |
France | 3 | 3% |
India | 3 | 3% |
Germany | 2 | 2% |
United Arab Emirates | 2 | 2% |
Australia | 2 | 2% |
Brazil | 2 | 2% |
South Africa | 2 | 2% |
Other | 18 | 15% |
Unknown | 64 | 53% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 104 | 87% |
Scientists | 12 | 10% |
Science communicators (journalists, bloggers, editors) | 3 | 3% |
Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 227 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 227 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 43 | 19% |
Student > Master | 32 | 14% |
Researcher | 21 | 9% |
Student > Bachelor | 18 | 8% |
Student > Doctoral Student | 16 | 7% |
Other | 39 | 17% |
Unknown | 58 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 66 | 29% |
Engineering | 37 | 16% |
Mathematics | 16 | 7% |
Physics and Astronomy | 6 | 3% |
Medicine and Dentistry | 4 | 2% |
Other | 30 | 13% |
Unknown | 68 | 30% |