An analysis of Malaysian retracted papers: Misconduct or mistakes?

The landscape of the characteristics, citations, scientific, technological, and altmetrics impacts of retracted papers in hematology

Retraction is a mechanism for eliminating and correcting serious problems in the scientific literature and increasing awareness among members of the scientific community about unreliable literature. The objectives of this study were to identify the characteristics and reasons for retraction, analyze citations, and describe the scientific, altmetrics, and technological impacts of hematology retracted papers. Retracted papers were searched using the hematology category of the Web of Science database. The search yielded 101 retracted papers in WoS. Statistics methods such as frequency, mean, interquartile range (IQR), and Pearson's Correlation were used for data analysis. The findings showed the retracted papers were published in 28 different hematology journals. The majority of retracted documents were in Article type (n = 81). The mean time interval of the retracted papers from the first publication to retraction was 50.83 months. The largest number of retracted papers belonged to the United States (n = 46). The most frequently reported reason for retraction was misconduct (n = 55). The findings of this study provide a landscape into the characteristics and citations of retracted papers before and after retraction in addition to the scientific, technological, and altmetrics impacts of hematology retracted papers in the scientific community.

Cross-cultural differences in retracted publications of male and female from a global perspective

The aim of this paper is threefold: (i) to identify the combinations of national culture dimensions that lead to high (or low) male or female retracted publications, (ii) to understand the role of personal trust as a relevant condition that combines with national culture dimensions to cause high (or low) male or female retraction, and (iii) to identify the differences in the configurations that lead to those outcomes. Based on framework of Hofstede's cross-cultural analysis and data from Hofstede Center, World Value, and Web of Science, this essay analyzes cultural complex causal relations between national culture and trust dimensions (conditions), and male and female retracted publications (outcomes) in 30 countries nationally and globally by fuzzy-set qualitative comparative analysis. This research provides three major insights: (i) Cultural dimensions (power distance, individualism, masculinity, uncertainty avoidance, long-term orientation) and trust are not necessary conditions for both male and female to cause retractions, (ii) different levels of personal trust (high/low) combine with national cultural dimensions in order to produce different configurations that can lead to high or low retractions, and (iii) Each gender causes retractions in a similar or identical way, but each also owns its unique way. Finally, we provide effective policy recommendations to specific countries based on our critical conclusions and discussions.

ANALYSIS OF RETRACTED PUBLICATIONS FROM KAZAKHSTAN

Introduction: Retraction is a mechanism to prevent the dissemination of erroneous, misleading, or biased data and information. Various factors can cause retraction. In this article, we focused on Kazakhstan data and aimed to present an analysis of retracted publications from Kazakhstan. Methods: Data for this descriptive cross-sectional article were obtained from the 'Retraction Watch’ database without time restriction. Among the country selections, 'Kazakhstan,' 'Tajikistan,' 'Uzbekistan,' 'Kyrgyzstan,' and 'Turkmenistan' were chosen, and the number of retracted articles was recorded. For detailed analysis, Kazakhstan data were focused on and further analyses were performed on Kazakhstan data. Article title, authors, time interval (in days) from publication to retraction, date of retraction, source of publication, subject area of publication, publication type, and retraction reason were recorded in an Excel file. Results: The number of retracted publications was detected as 64 from Kazakhstan, 49 from Tajikistan, 17 from Uzbekistan, 12 from Kyrgyzstan, and 1 from Turkmenistan. Kazakhstan data were as follows: The median time interval between publication date and retraction date was 475 (46 - 2074) days. Retraction reasons were listed as: Plagiarism (n = 22), peer review issues (n = 21), duplication (n = 11), author disagreements and conflict (n = 5), error (n = 5), fraud (n = 2), ethical issues ( n = 1), publication issues (n = 1), and unknown (n = 1). The three areas with the most retracted articles were engineering (n = 22), education (n = 21), and technology (n = 12). Conclusion: Kazakhstan was first among the five Central Asian countries in terms of the number of retracted publications. Plagiarism, peer review issues, and duplication were at the forefront of the retraction reasons. There is a need for approaches to increase the knowledge of researchers in Kazakhstan about the retraction reasons and ethical research conditions.

Do retraction practices work effectively? Evidence from citations of psychological retracted articles

Scientific retraction practices are intended to help purge the continued use of flawed research and assist in maintaining the integrity, credibility and quality of scientific literature. However, the practical effect of retraction is still vague and needs to be further explored. In this study, we analysed the citation counts and sentiments (positive/negative) of retracted articles in psychology journals from Web of Science to explore the effect of retraction. Causal inference strategies were used to measure the net effect of retractions on citation. Results show that the retraction practices induced the citation counts to reduce as expected. However, the proportion of negative citations also decreased because of retraction, indicating an unsatisfied effect. The retraction practice of high-impact factors and open access journals was more effective than other journals. The study integrated an understanding of the dissemination of erroneous publications and provided implications for liabilities involved in the whole retraction process.

Analysis of Retracted Publications in The Biomedical Literature from Turkey

BACKGROUND

Retraction is a process for correcting the literature and provides a barrier to the dissemination of publications that include major faults or false-misleading data. The aim of this study was to examine the characteristics of retracted articles in the biomedical field sourced from Turkey.

METHODS

In this descriptive cross-sectional study, all retracted publications from Turkey on PubMed were listed without date restriction. Data covering the article title, authors, publication date, retraction date, time between publication and retraction dates (in months), journal, article type, country of the corresponding author, peer review timeline (in days), reason for retraction, and subject area of the retracted item were recorded. Citation data were obtained using the Scopus database. The altmetric attention scores of the articles were recorded.

RESULTS

A total of 102 articles were listed and after the implementation of exclusion criteria, 86 articles were included for analysis. The first retracted article was published in 2000 (n = 1), while the most retracted articles were published in 2020 (n = 11). The median time lag between publication and retraction was 10.33 (0.73-144.06) months. The main factors causing retraction were plagiarism (n = 23), duplication (n = 22) and error (n = 17). The total number of citations was 695. A total of 224 citations were in the pre-retraction period and 471 citations were in the post-retraction period.

CONCLUSION

The retracted article counts showed a rising trend over the years. The leading causes of retraction for articles from Turkey were plagiarism, duplication, and error. It was found that the articles continued to be cited after the retraction. Researchers in Turkey should be educated on retraction, particularly plagiarism and duplication. Strategies should be developed to prevent articles from being cited after retraction.

Citation of retracted research: a case-controlled, ten-year follow-up scientometric analysis of Scott S. Reuben’s malpractice

A major problem in scientific literature is the citation of retracted research. Until now, no long-term follow-up of the course of citations of such articles has been published. In the present study, we determined the development of citations of retracted articles based on the case of anaesthesiologist and pain researcher Scott S. Reuben, over a period of 10 years and compared them to matched controls. We screened four databases to find retracted publications by Scott S. Ruben and reviewed full publications for indications of retraction status. To obtain a case-controlled analysis, all Reuben’s retracted articles were compared with the respective citations of the preceeding and subsequent neighbouring articles within the same journal. There were 420 citations between 2009 and 2019, of which only 40% indicated the publication being retracted. Over a 10-year period, an increasing linear trend is observed in citations of retracted articles by Scott S. Ruben that are not reported as retracted (R2 = 0.3647). Reuben’s retracted articles were cited 92% more often than the neighbouring non-retracted articles. This study highlights a major scientific problem. Invented or falsified data are still being cited after more than a decade, leading to a distortion of the evidence and scientometric parameters.

Characteristics of retracted editorial articles in the biomedical literature

The main purpose of this short communication is to identify and analyze retracted editorials in the biomedical literature. Twenty-five of the 33 editorials are chosen for further analysis. All of the editorials were published as commentaries and concise reviews between 1998 and 2021. Due to plagiarism and data-related issues, the majority of the editorial articles were retracted. Alarmingly, one-fifth of the editorials were funded by external agencies, with the USA leading the list of retracted editorials. The average time between the publication of the editorials and their retraction is 2.48 years, and two editorials were retracted with the longest durations; both were written by the same author. The conclusion is that, at the very least, editorial articles should be devoid of research/scientific misconduct.

Retracted articles in the biomedical literature from Indian authors

The aim of the present study is to identify retracted articles in the biomedical literature (co) authored by Indian authors and to examine the features of retracted articles. The PubMed database was searched to find the retracted articles in order to reach the goal. The search yielded 508 records and retrieved for the detailed analysis of: authorships and collaboration type, funding information, who retracts? journals and impact factors, and reasons for retraction. The results show that most of the biomedical articles retracted were published after 2010 and common reasons are plagiarism and fake data for retraction. More than half of the retracted articles were co-authored within the institutions and there is no repeat offender. 25% of retracted articles were published in the top 15 journals and 33% were published in the non-impact factor journals. Average time from publication to retraction is calculated to 2.86 years and retractions due to fake data takes longest period among the reasons. Majority of the funded research was retracted due to fake data whereas it is plagiarism for non-funded.

How do academia and society react to erroneous or deceitful claims? The case of retracted articles’ recognition

Researchers give credit to peer-reviewed, and thus, credible publications through citations. Despite a rigorous reviewing process, certain articles undergo retraction due to disclosure of their ethical or scientific deficiencies. It is, therefore, important to understand how society and academia react to the erroneous or deceitful claims and purge the science of their unreliable results. Applying a matched-pairs research design, this study examined a sample of medicine-related retracted and non-retracted articles matched by their content similarity. The regression analysis revealed similarities in obsolescence trends of the retracted and non-retracted groups. The Generalized Estimating Equations showed that citations are affected by the retraction status, life after retraction, life cycle and the journals’ previous reputation, with the two formers being the strongest in positively predicting the citations. The retracted papers obtain fewer citations either before or after retraction, implying academia’s watchful reaction to the low-quality papers even before official announcement of their fallibility. They exhibit an equal or higher social recognition level regarding Tweets and Blog Mentions, while a lower status regarding Mendeley Readership. This could signify social users’ sensibility regarding scientific quality since they probably publicise the retraction and warn against the retracted items in their tweets or blogs, while avoiding recording them in their Mendeley profiles. Further scrutiny is required to gain insight into the sensibility, if any, about scientific quality. The study’s originality relies on matching the retracted and non-retracted papers with their topics and neutralising variations in their citation potentials. It is also the first study comparing the groups’ social impacts.

Insight into modern-day plagiarism: The science of pseudo research

In today's world, when there is a rapid surge of biomedical publications, maintaining research integrity of articles is of prime importance. It is expected that the submitted work is genuine of submitting authors'. Ease in the availability of these digitally published biomedical papers and pressure to publish for academic and professional advancement had resulted in numerous novice scientists and students falling into unethical practice of plagiarizing others' work to get the job done quickly. Plagiarists are continuously in search of finding new and easy ways to plagiarize someone else's work, currently seen as different forms of plagiarism. Hence, this narrative review intends to help young and upcoming researchers to understand plagiarism, its type, the reason for plagiarists getting involved in that, and possible ways to detect and prevent it.