Home country bias in academic publishing: A case study of the <i>New England Journal of Medicine</i>

Zhu, Haoran

doi:10.1002/leap.1404

Cited by 9 publications

(8 citation statements)

References 13 publications

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“…Last, we extracted the raw citation counts received by each paper from the downloaded bibliographic information. To make papers from different years comparable in research impact, we normalized the citation counts with Formula 2 following the approach of previous studies (Wei & Lei, 2018 ; Zhu, 2021 ). …”

Section: Methodsmentioning

confidence: 99%

Linguistic positivity in soft and hard disciplines: temporal dynamics, disciplinary variation, and the relationship with research impact

Liu

Zhu

2023

Scientometrics

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Previous studies have investigated the use of positive/negative language in academic discourse, and have found a tendency toward using more positive language in academic writing. However, little is known about whether the features and dynamics of linguistic positivity vary across disciplines. In addition, the relationship between linguistic positivity and research impact deserves further evaluation. To address these issues, the present study investigated linguistic positivity in academic writing from a cross-disciplinary perspective. Based on a 111-million-word corpus of research article abstracts collected from the Web of Science, the study examined the diachronic trends of positive/negative language in eight academic disciplines, and explored the relationship between linguistic positivity and citation counts. The results demonstrated that the increase in linguistic positivity is a common phenomenon across the examined academic disciplines. In addition, hard disciplines showed a higher and faster-growing degree of linguistic positivity compared with soft disciplines. Last, a significant positive correlation was identified between citation counts and the degree of linguistic positivity. Reasons for the temporal dynamics and disciplinary variation of linguistic positivity were explored, and implications for the scientific community were discussed.

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Section: Methodsmentioning

confidence: 99%

Linguistic positivity in soft and hard disciplines: temporal dynamics, disciplinary variation, and the relationship with research impact

Liu

Zhu

2023

Scientometrics

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“…Third, we searched bibliographic data from three sub-databases of WoS: Science Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI), and Arts & Humanities Citation Index (A&HCI). WoS was chosen as the data source because it is arguably one of the most famous and comprehensive databases of bibliographic information in the world (Song et al, 2019), and it has been widely utilized in many previous studies (Cansun & Arik, 2018; Raban & Gordon, 2020; Zhang et al, 2020; Zhu, 2021).…”

Section: Methodsmentioning

confidence: 99%

“…In addition, to capture the temporal change in research productivity (e.g., the annual trends of TC-related publication counts), we applied the Mann-Kendall trend test, a recommended method for non-parametric time series analysis (Kisi & Ay, 2014; Zhu, 2021).…”

Section: Methodsmentioning

confidence: 99%

The Research Trends of Text Classification Studies (2000–2020): A Bibliometric Analysis

Zhu

Lei

2022

Sage Open

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Text Classification (TC) is the process of assigning several different categories to a set of texts. This study aims to evaluate the state of the arts of TC studies. Firstly, TC-related publications indexed in Web of Science were selected as data. In total, 3,121 TC-related publications were published in 760 journals between 2000 and 2020. Then, the bibliographic information was mined to identify the publication trends, important contributors, publication venues, and involved disciplines. Besides, a thematic analysis was performed to extract topics with increasing/decreasing popularity. The findings showed that TC has become a fast-growing interdisciplinary area, and that emerging research powers such as China are playing increasingly important roles in TC research. Moreover, the thematic analysis showed increased interest in topics concerning advanced classification algorithms, performance evaluation methods, and the practical applications of TC. This study will help researchers recognize the recent trends in the area.

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“…However, prior empirical studies have reported editorial biases associated with factors such as gender, race, country of origin, reputation and institutional affiliation in the gatekeeping practices of academic journals worldwide (Cameron et al, 2016; De Oliveira et al, 2012; Moustafa, 2015; Zhu, 2021). For example, the fame of academics has been shown to play a significant role in how favourably their work is received by journals (Bravo et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…Since journal editors serve as the gatekeepers of the publishing process by deciding whether a submission is sent out for external peer review and is publishable thereafter (Grace, 2004), they are generally expected to evaluate and accept articles based solely on the merit of the authors' academic writings and the novelty of their research. However, prior empirical studies have reported editorial biases associated with factors such as gender, race, country of origin, reputation and institutional affiliation in the gatekeeping practices of academic journals worldwide (Cameron et al, 2016;De Oliveira et al, 2012;Moustafa, 2015;Zhu, 2021). For example, the fame of academics has been shown to play a significant role in how favourably their work is received by journals (Bravo et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Editorial bias in top‐tier education journals: Factors influencing publishable scholarship in China

Jiang

Shi

2022

Learned Publishing

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Though not rare in the gatekeeping practices of journals, editorial bias in China has received scant scholarly attention. Drawing on in-depth interviews with 15 academics and 10 editors in the field of education and collecting data on more than 1,522 scholarly articles published by the Chinese journal Educational Research, we assessed the causes and consequences of editorial bias in a subset of the education journals covered by the Chinese Social Sciences Citation Index (CSSCI). Our findings indicate that the editorial biases revealed in some top-tier Chinese education journals were associated mainly with academic fame, rank, and affiliation as well as personal relationships described by the term guanxi.The causes of these biases include the desire to secure the status of CSSCI-listed journals, short-staffed editorial teams, and an inadequate peer-review system. Further, we found these biases to be associated with three particular negative consequences: slowing the professional development of young academics, allowing the publication of mediocre articles and compromising the Chinese academic environment. We conclude that journal editors, reviewers and academics must work together to safeguard a rigorous and constructive scholarly publishing system in China.

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Home country bias in academic publishing: A case study of the New England Journal of Medicine

Cited by 9 publications

References 13 publications

Linguistic positivity in soft and hard disciplines: temporal dynamics, disciplinary variation, and the relationship with research impact

Linguistic positivity in soft and hard disciplines: temporal dynamics, disciplinary variation, and the relationship with research impact

The Research Trends of Text Classification Studies (2000–2020): A Bibliometric Analysis

Editorial bias in top‐tier education journals: Factors influencing publishable scholarship in China

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