Improving the Reliability of Literature Reviews
Detection of Retracted Articles through Academic Search Engines
Bibliographic Data
| ID | 16946292 |
|---|---|
| Authors | Elena Pastor-Ramón (0000-0003-2609-6541, Universitat Pompeu Fabra), Iván Herrera‐Peco (0000-0002-5183-5679, Universitat Pompeu Fabra), Oskia Agirre (0000-0001-8991-691X, University of the Basque Country), María García‐Puente (0000-0002-6521-665X, Hospital Universitario Fundación Jiménez Díaz), Jose M Moran (0000-0002-5538-182X, Universidad de Extremadura, corresponding author) |
| Year | 2022 |
| Volume | 12 |
| Issue | 5 |
| Pages | 458-464 |
| Publication date | 2022-05-04 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | European Journal of Investigation in Health, Psychology and Education (JOURNAL) |
| Journal identifiers | ISSN: 2174-8144 • E-ISSN: 2254-9625 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ejihpe12050034 |
| PMID | 35621514 |
| OpenAlex | W4225376644 |
| Language | EN |
| Citations received | 3 |
| References cited | 23 |
Nowadays, a multitude of scientific publications on health science are being developed that require correct bibliographic search in order to avoid the use and inclusion of retracted literature in them. The use of these articles could directly affect the consistency of the scientific studies and could affect clinical practice. The aim of the present study was to evaluate the capacity of the main scientific literature search engines, both general (Gooogle Scholar) and scientific (PubMed, EMBASE, SCOPUS, and Web of Science), used in health sciences in order to check their ability to detect and warn users of retracted articles in the searches carried out. The sample of retracted articles was obtained from RetractionWatch. The results showed that although Google Scholar was the search engine with the highest capacity to retrieve selected articles, it was the least effective, compared with scientific search engines, at providing information on the retraction of articles. The use of different scientific search engines to retrieve as many scientific articles as possible, as well as never using only a generic search engine, is highly recommended. This will reduce the possibility of including retracted articles and will avoid affecting the reliability of the scientific studies carried out
Data science · Information retrieval · MEDLINE · Political science · Publishing · Scientific article · Scientific evidence · Scientific literature · Scopus · Search engine · Web of science · Academic integrity and plagiarism · Artificial Intelligence in Healthcare and Education · Computer Science · Mathematics · Meta-analysis and systematic reviews · Psychology · Artificial Intelligence
| Unique citing works | 3 |
|---|---|
| Citations per year | 1 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |