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X Demographics
Mendeley readers
Chapter title |
Expediting MRSH-v2 Approximate Matching with Hierarchical Bloom Filter Trees
|
---|---|
Chapter number | 11 |
Book title |
Digital Forensics and Cyber Crime
|
Published by |
Springer, Cham, January 2018
|
DOI | 10.1007/978-3-319-73697-6_11 |
Book ISBNs |
978-3-31-973696-9, 978-3-31-973697-6
|
Authors |
David Lillis, Frank Breitinger, Mark Scanlon, Lillis, David, Breitinger, Frank, Scanlon, Mark |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Ireland | 2 | 67% |
Sri Lanka | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 27% |
Student > Master | 3 | 20% |
Professor > Associate Professor | 2 | 13% |
Lecturer | 1 | 7% |
Unknown | 5 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 10 | 67% |
Unknown | 5 | 33% |