Text Mining for Information Professionals
Springer International Publishing
Title |
Text Mining for Information Professionals
|
---|---|
Published by |
Springer International Publishing, January 2022
|
DOI | 10.1007/978-3-030-85085-2 |
ISBNs |
978-3-03-085084-5, 978-3-03-085085-2
|
Authors |
Manika Lamba, Margam Madhusudhan |
Country | Count | As % |
---|---|---|
Germany | 5 | 13% |
United States | 4 | 11% |
India | 3 | 8% |
Spain | 2 | 5% |
Australia | 2 | 5% |
United Kingdom | 1 | 3% |
Switzerland | 1 | 3% |
Mexico | 1 | 3% |
Ukraine | 1 | 3% |
Other | 6 | 16% |
Unknown | 12 | 32% |
Type | Count | As % |
---|---|---|
Members of the public | 23 | 61% |
Scientists | 9 | 24% |
Science communicators (journalists, bloggers, editors) | 5 | 13% |
Unknown | 1 | 3% |
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 2 | 13% |
Student > Ph. D. Student | 1 | 7% |
Student > Master | 1 | 7% |
Librarian | 1 | 7% |
Professor > Associate Professor | 1 | 7% |
Other | 2 | 13% |
Unknown | 7 | 47% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 2 | 13% |
Arts and Humanities | 1 | 7% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
Business, Management and Accounting | 1 | 7% |
Computer Science | 1 | 7% |
Other | 2 | 13% |
Unknown | 7 | 47% |