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Search Results (6)

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Keywords = Retraction Watch

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18 pages, 945 KB  
Article
Analysis of Retractions in Nursing from Publications Between 2000 and 2024: A Bibliometric Analysis Using Retraction Watch
by María Paz Contreras-Muñoz, Cristian Zahn-Muñoz, Elizabeth Solís-Albanese and Ezequiel Martínez-Rojas
Nurs. Rep. 2025, 15(10), 349; https://doi.org/10.3390/nursrep15100349 - 26 Sep 2025
Cited by 2 | Viewed by 2393
Abstract
There has been a significant increase in scientific publications in recent years, and the nursing field has been no exception. Consequently, the number of publications containing errors that lead to document retractions has also increased. It is essential to understand and delve into [...] Read more.
There has been a significant increase in scientific publications in recent years, and the nursing field has been no exception. Consequently, the number of publications containing errors that lead to document retractions has also increased. It is essential to understand and delve into this phenomenon within nursing research. Objective: This study aims to identify and analyze the retractions of scientific publications in nursing research worldwide between 2000 and 2024. Methodology: This is a descriptive and cross-sectional study with a bibliometric approach. Data were collected using the Retraction Watch database, from which 408 retracted documents related to nursing research were extracted. Results: Over the last 25 years (2000–2024), a total of 408 documents in the nursing field have been retracted, with the majority concentrated in the 2020–2024 period, accounting for 84.8%. Ethical misconduct was the cause of retraction in 87.3% of the cases. Of the 408 retracted documents, 42.6% involved human participants in research or control groups, totaling 21,369 patients who were part of flawed studies. Conclusions: It is crucial that nursing research remains rigorous and adheres to bioethical standards, as these guide evidence-based nursing practice. Flawed literature can have significant consequences for patient health and care. Full article
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16 pages, 306 KB  
Review
On the Dearth of Retractions in Social Work: A Cross-Sectional Study of Ten Leading Journals
by Daniel J. Dunleavy
Metrics 2025, 2(3), 16; https://doi.org/10.3390/metrics2030016 - 1 Sep 2025
Cited by 1 | Viewed by 2450
Abstract
In recent decades, there has been an increase in the number of retractions across the biomedical and social sciences. A high rate of retractions undermines the integrity of scholarly journals and threatens the credibility of scientific disciplines. It is unknown how common retractions [...] Read more.
In recent decades, there has been an increase in the number of retractions across the biomedical and social sciences. A high rate of retractions undermines the integrity of scholarly journals and threatens the credibility of scientific disciplines. It is unknown how common retractions are within the field of social work. The aim of this study was to determine the prevalence of retractions among ten leading social work journals. This cross-sectional study employed three search strategies. First, each journal’s website was searched using the keywords “retracted” and “retraction”. The same procedure was employed, for each journal, using Google Scholar’s advanced search function. Finally, the Retraction Watch Database was queried using the name of each journal. None of the 196 results produced from these search strategies resulted in the identification of a single retracted article. Reasons for this absence are explored and recommendations to enhance the integrity of social work research and journals are discussed. Full article
19 pages, 2917 KB  
Article
An Approach to Trustworthy Article Ranking by NLP and Multi-Layered Analysis and Optimization
by Chenhao Li, Jiyin Zhang, Weilin Chen and Xiaogang Ma
Algorithms 2025, 18(7), 408; https://doi.org/10.3390/a18070408 - 3 Jul 2025
Cited by 2 | Viewed by 1246
Abstract
The rapid growth of scientific publications, coupled with rising retraction rates, has intensified the challenge of identifying trustworthy academic articles. To address this issue, we propose a three-layer ranking system that integrates natural language processing and machine learning techniques for relevance and trust [...] Read more.
The rapid growth of scientific publications, coupled with rising retraction rates, has intensified the challenge of identifying trustworthy academic articles. To address this issue, we propose a three-layer ranking system that integrates natural language processing and machine learning techniques for relevance and trust assessment. First, we apply BERT-based embeddings to semantically match user queries with article content. Second, a Random Forest classifier is used to eliminate potentially problematic articles, leveraging features such as citation count, Altmetric score, and journal impact factor. Third, a custom ranking function combines relevance and trust indicators to score and sort the remaining articles. Evaluation using 16,052 articles from Retraction Watch and Web of Science datasets shows that our classifier achieves 90% accuracy and 97% recall for retracted articles. Citations emerged as the most influential trust signal (53.26%), followed by Altmetric and impact factors. This multi-layered approach offers a transparent and efficient alternative to conventional ranking algorithms, which can help researchers discover not only relevant but also reliable literature. Our system is adaptable to various domains and represents a promising tool for improving literature search and evaluation in the open science environment. Full article
(This article belongs to the Special Issue Data-Driven Intelligent Modeling and Optimization Algorithms for Industrial Processes: 2nd Edition)
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9 pages, 606 KB  
Article
Analyzing the Drivers Behind Retractions in Tuberculosis Research
by Franko O. Garcia-Solorzano, Shirley M. De la Cruz Anticona, Mario Pezua-Espinoza, Fernando A. Chuquispuma Jesus, Karen D. Sanabria-Pinilla, Christopher Chavez Veliz, Vladimir A. Huayta-Alarcón, Percy Mayta-Tristan and Leonid Lecca
Publications 2025, 13(1), 4; https://doi.org/10.3390/publications13010004 - 14 Jan 2025
Cited by 1 | Viewed by 2768
Abstract
Tuberculosis research plays a crucial role in understanding and responding to the necessities of people with this disease, yet the integrity of this research is compromised by frequent retractions. Identifying and analyzing the main reasons for retraction of tuberculosis articles is essential for [...] Read more.
Tuberculosis research plays a crucial role in understanding and responding to the necessities of people with this disease, yet the integrity of this research is compromised by frequent retractions. Identifying and analyzing the main reasons for retraction of tuberculosis articles is essential for improving research practices and ensuring reliable scientific output. In this study, we conducted an advanced systematic literature review of retracted original articles on Tuberculosis, utilizing databases such as Web of Science, Embase, Scopus, PubMed, LILACS, and the Retraction Watch Database webpage. We found that falsification and plagiarism were the most frequent reasons for retraction, although 16% of the retracted articles did not declare the drivers behind the retraction. Almost half of the retracted studies received external funding, affecting not only those specific studies but future funding opportunities for this research field. Stronger measures of research integrity are needed to prevent misconduct in this vulnerable population. Full article
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12 pages, 4312 KB  
Article
Sustained Rise in Retractions in the Life Sciences Literature during the Pandemic Years 2020 and 2021
by Nicole Shu Ling Yeo-Teh and Bor Luen Tang
Publications 2022, 10(3), 29; https://doi.org/10.3390/publications10030029 - 16 Aug 2022
Cited by 25 | Viewed by 5905
Abstract
The COVID-19 pandemic has been devastating to all human endeavors, and scientific research has not been spared. We queried how the retraction of publications might have been affected during the pandemic years 2020–2021. Searches performed with Retraction Watch Database (RWD) revealed that the [...] Read more.
The COVID-19 pandemic has been devastating to all human endeavors, and scientific research has not been spared. We queried how the retraction of publications might have been affected during the pandemic years 2020–2021. Searches performed with Retraction Watch Database (RWD) revealed that the total number of retractions (as proxied by retraction-related notices) rose steadily from 2013 into the pandemic years 2020–2021. Interestingly, while retractions in the physical and social sciences tapered during 2020–2021, those of the basic life sciences and health sciences showed robust increases in 2020, with the former maintaining a steep rise in 2021. This rise in retractions belied a tapering of total relevant publications in the same year and is confirmed with a complementary search strategy in Scopus. The retraction rate in the medical sciences, particularly those relating to infectious disease, is clearly affected by the anomalous high retraction rate of COVID-19-related papers. However, the sustained increase in the retraction rate of the basic life sciences papers, could be due, at least partly, to retraction spikes in several journals. The rise in retractions in the life and medical sciences could be attributed to heightened post-publication peer review of papers in online platforms such as PubPeer, where numerous problematic papers have been revealed. Full article
(This article belongs to the Special Issue Publication Ethics and Research Integrity)
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7 pages, 292 KB  
Article
Improving the Reliability of Literature Reviews: Detection of Retracted Articles through Academic Search Engines
by Elena Pastor-Ramón, Ivan Herrera-Peco, Oskia Agirre, María García-Puente and José María Morán
Eur. J. Investig. Health Psychol. Educ. 2022, 12(5), 458-464; https://doi.org/10.3390/ejihpe12050034 - 4 May 2022
Cited by 12 | Viewed by 6017
Abstract
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue 21st Century Health Communication Challenges: Public Health Emergencies)
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