| Chapter title |
Introduction to Biomedical Literature Text Mining: Context and Objectives.
|
|---|---|
| Chapter number | 1 |
| Book title |
Biomedical Literature Mining
|
| Published in |
Methods in molecular biology, May 2014
|
| DOI | 10.1007/978-1-4939-0709-0_1 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-0708-3, 978-1-4939-0709-0
|
| Authors |
Saffer JD, Burnett VL, Jeffrey D. Saffer, Vicki L. Burnett, Saffer, Jeffrey D., Burnett, Vicki L. |
| Abstract |
If you are reading this, you know how important it is and almost certainly look to the biomedical literature for a large part of the information you need. We work hard to find more and more biomedical literature, seeking new content from multiple sources. But, can there be too much of a good thing? Most science is reductionist by nature. It is difficult enough finding the relevant nuggets of information from 1,000 documents. It is at least ten times harder to do so from 10,000 documents. And, with 25 million biomedical journal articles and many times that of other textual information sources, we are faced with significant challenges. In this introduction, we identify some of those challenges to prepare you for the remaining chapters. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Librarian | 1 | 11% |
| Student > Bachelor | 1 | 11% |
| Professor | 1 | 11% |
| Student > Ph. D. Student | 1 | 11% |
| Student > Master | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 4 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 22% |
| Arts and Humanities | 1 | 11% |
| Computer Science | 1 | 11% |
| Medicine and Dentistry | 1 | 11% |
| Unknown | 4 | 44% |