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.
Mendeley readers
Chapter title |
Genetic algorithms for protein tertiary structure prediction
|
---|---|
Chapter number | 141 |
Book title |
Machine Learning: ECML-93
|
Published by |
Springer, Berlin, Heidelberg, April 1993
|
DOI | 10.1007/3-540-56602-3_141 |
Book ISBNs |
978-3-54-056602-1, 978-3-54-047597-2
|
Authors |
Steffen Schulze-Kremer |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 5% |
Italy | 1 | 5% |
Cuba | 1 | 5% |
Czechia | 1 | 5% |
China | 1 | 5% |
United States | 1 | 5% |
Unknown | 15 | 71% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 38% |
Professor | 2 | 10% |
Researcher | 2 | 10% |
Student > Postgraduate | 2 | 10% |
Student > Master | 2 | 10% |
Other | 4 | 19% |
Unknown | 1 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 17 | 81% |
Biochemistry, Genetics and Molecular Biology | 1 | 5% |
Agricultural and Biological Sciences | 1 | 5% |
Engineering | 1 | 5% |
Unknown | 1 | 5% |