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Mendeley readers
Chapter title |
Supporting a Social Media Observatory with Customizable Index Structures: Architecture and Performance
|
---|---|
Chapter number | 17 |
Book title |
Cloud Computing for Data-Intensive Applications
|
Published by |
Springer, New York, NY, January 2014
|
DOI | 10.1007/978-1-4939-1905-5_17 |
Book ISBNs |
978-1-4939-1904-8, 978-1-4939-1905-5
|
Authors |
Xiaoming Gao, Evan Roth, Karissa McKelvey, Clayton Davis, Andrew Younge, Emilio Ferrara, Filippo Menczer, Judy Qiu, Gao, Xiaoming, Roth, Evan, McKelvey, Karissa, Davis, Clayton, Younge, Andrew, Ferrara, Emilio, Menczer, Filippo, Qiu, Judy |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 10% |
United States | 1 | 10% |
Unknown | 8 | 80% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 2 | 20% |
Professor > Associate Professor | 2 | 20% |
Other | 1 | 10% |
Student > Master | 1 | 10% |
Student > Bachelor | 1 | 10% |
Other | 2 | 20% |
Unknown | 1 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 70% |
Nursing and Health Professions | 1 | 10% |
Engineering | 1 | 10% |
Unknown | 1 | 10% |