Title |
CDAPubMed: a browser extension to retrieve EHR-based biomedical literature
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, April 2012
|
DOI | 10.1186/1472-6947-12-29 |
Pubmed ID | |
Authors |
David Perez-Rey, Ana Jimenez-Castellanos, Miguel Garcia-Remesal, Jose Crespo, Victor Maojo |
Abstract |
Over the last few decades, the ever-increasing output of scientific publications has led to new challenges to keep up to date with the literature. In the biomedical area, this growth has introduced new requirements for professionals, e.g., physicians, who have to locate the exact papers that they need for their clinical and research work amongst a huge number of publications. Against this backdrop, novel information retrieval methods are even more necessary. While web search engines are widespread in many areas, facilitating access to all kinds of information, additional tools are required to automatically link information retrieved from these engines to specific biomedical applications. In the case of clinical environments, this also means considering aspects such as patient data security and confidentiality or structured contents, e.g., electronic health records (EHRs). In this scenario, we have developed a new tool to facilitate query building to retrieve scientific literature related to EHRs. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 29% |
Canada | 1 | 14% |
Argentina | 1 | 14% |
Unknown | 3 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 71% |
Scientists | 1 | 14% |
Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 1 | 2% |
United States | 1 | 2% |
Canada | 1 | 2% |
Unknown | 63 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 13 | 20% |
Student > Ph. D. Student | 9 | 14% |
Student > Master | 8 | 12% |
Student > Bachelor | 7 | 11% |
Student > Postgraduate | 5 | 8% |
Other | 13 | 20% |
Unknown | 11 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 17 | 26% |
Computer Science | 17 | 26% |
Agricultural and Biological Sciences | 4 | 6% |
Nursing and Health Professions | 2 | 3% |
Social Sciences | 2 | 3% |
Other | 9 | 14% |
Unknown | 15 | 23% |