Analysis of single comments left for bioRxiv preprints till September 2019

IntroductionWhile early commenting on studies is seen as one of the advantages of preprints, the type of such comments, and the people who post them, have not been systematically explored.Materials and methodsWe analysed comments posted between 21 May 2015 and 9 September 2019 for 1983 bioRxiv preprints that received only one comment on the bioRxiv website. The comment types were classified by three coders independently, with all differences resolved by consensus.ResultsOur analysis showed that 69% of comments were posted by non-authors (N = 1366), and 31% by the preprints’ authors themselves (N = 617). Twelve percent of non-author comments (N = 168) were full review reports traditionally found during journal review, while the rest most commonly contained praises (N = 577, 42%), suggestions (N = 399, 29%), or criticisms (N = 226, 17%). Authors’ comments most commonly contained publication status updates (N = 354, 57%), additional study information (N = 158, 26%), or solicited feedback for the preprints (N = 65, 11%).ConclusionsOur results indicate that comments posted for bioRxiv preprints may have potential benefits for both the public and the scholarly community. Further research is needed to measure the direct impact of these comments on comments made by journal peer reviewers, subsequent preprint versions or journal publications.     

MBA Students’ Quality Improvement: The Correlation Analysis of Students’ Personal Traits and Attitudes towards Teaching Methods at a Chinese University

MBA education has become the fastest growing segment of education in China in recent years and a segment that can now be considered indispensible. However, how best to teach it has long been a source of debate. One of the key issues is how to match student traits with teaching methods. While engaged as teachers of marketing management, the authors collected data by questionnaire, carried out empirical research and data comparison, and undertook contingency analysis. It was found that different personal traits in students lead to different attitudes towards teaching methods. A student’s major in college, gender, and sector of employment has little influence on attitudes towards teaching methods, while age, the most sensitive factor, plays the biggest role, followed by job and class. Therefore, these factors should be taken into consideration when arranging classes, developing the curriculum, and planning teaching methods.