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 |
Similarity of Medical Images Computed from Global Feature Vectors for Content-Based Retrieval
|
---|---|
Chapter number | 131 |
Book title |
Knowledge-Based Intelligent Information and Engineering Systems
|
Published by |
Springer, Berlin, Heidelberg, September 2004
|
DOI | 10.1007/978-3-540-30133-2_131 |
Book ISBNs |
978-3-54-023206-3, 978-3-54-030133-2
|
Authors |
Thomas M. Lehmann, Mark O. Güld, Daniel Keysers, Thomas Deselaers, Henning Schubert, Berthold Wein, Klaus Spitzer, Lehmann, Thomas M., Güld, Mark O., Keysers, Daniel, Deselaers, Thomas, Schubert, Henning, Wein, Berthold, Spitzer, Klaus |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 8% |
Switzerland | 1 | 8% |
Unknown | 10 | 83% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 33% |
Researcher | 3 | 25% |
Student > Master | 3 | 25% |
Student > Bachelor | 1 | 8% |
Student > Doctoral Student | 1 | 8% |
Other | 0 | 0% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 75% |
Engineering | 2 | 17% |
Medicine and Dentistry | 1 | 8% |