Accept Me, Accept Me Not: What Do Journal Acceptance Rates Really Mean? [ICSR Perspectives]

Herbert, Rachel

doi:10.2139/ssrn.3526365

Cited by 12 publications

(7 citation statements)

References 5 publications

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“…The assessment of the ten most cited scholarly publications about ML for healthcare has revealed that eight of these outputs have been issued by Elsevier as shown in Table 3: Three papers are published in Expert Systems with Applications and two in Computer Methods and Programs in Biomedicine. This proves that Elsevier publishes more impactful research outputs than the other corporations due to its highly selective editorial policy characterized by a limited acceptance rate [127,128]. Other publishers should revise their peer review policies to achieve better research quality and consequently a better citation impact.…”

mentioning

confidence: 86%

Machine Learning for Healthcare: A Bibliometric Study of Contributions from Africa

Turki¹,

Pouris²,

Ifeanyichukwu³

et al. 2023

Preprint

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Machine learning has seen enormous growth in the last decade, with healthcare being a prime application for advanced diagnostics and improved patient care. The application of machine learning for healthcare is particularly pertinent in Africa, where many countries are resource-scarce. However, it is unclear how much research on this topic is arising from African institutes themselves, which is a crucial aspect for applications of machine learning to unique contexts and challenges on the continent. Here, we conduct a bibliometric study of African contributions to research publications related to machine learning for healthcare, as indexed in Scopus, between 1993 and 2022. We identified 3,772 research outputs, with most of these published since 2020. North African countries currently lead the way with 64.5% of publications for the reported period, yet Sub-Saharan Africa is rapidly increasing its output. We found that international support in the form of funding and collaborations is correlated with research output generally for the continent, with local support garnering less attention. Understanding African research contributions to machine learning for healthcare is a crucial first step in surveying the broader academic landscape, forming stronger research communities, and providing advanced and contextually aware biomedical access to Africa.

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confidence: 86%

Machine Learning for Healthcare: A Bibliometric Study of Contributions from Africa

Turki¹,

Pouris²,

Ifeanyichukwu³

et al. 2023

Preprint

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“…○ Acceptance rate is most commonly defined as the measure of the number of manuscripts accepted by a journal divided by the number of manuscripts submitted to that journal. 31 It can serve as a proxy for the perceived prestige and demand for a particular journal compared to its availability. 31 However, acceptance rate does not identify the reasons manuscripts have been rejected, which could have more to do with a manuscript’s applicability to the journal’s editorial mission than with quality or scientific rigor.…”

Section: Choose Appropriate Resourcesmentioning

confidence: 99%

“… 31 It can serve as a proxy for the perceived prestige and demand for a particular journal compared to its availability. 31 However, acceptance rate does not identify the reasons manuscripts have been rejected, which could have more to do with a manuscript’s applicability to the journal’s editorial mission than with quality or scientific rigor. 31 Consider as well that the most prestigious journal in a given field may have a low acceptance rate simply due to the desire of authors to submit their manuscripts.…”

Section: Choose Appropriate Resourcesmentioning

confidence: 99%

Reading Between the Lines: Navigating Nuance in Medical Literature to Optimize Clinical Decision-Making and Health Care Outcomes

Nelinson,

Ko,

Bass

2023

AMEP

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Research-based articles published in medical journals are key to communicating the results of clinical trials, systematic reviews, and meta-analyses. But there are challenges inherent in the communication process. While clinicians rely on the information they read in medical journals to help guide clinical decision-making, most are overwhelmed by the amount of information being published and many receive only limited training on how to critically assess what they read. This can result in suboptimal clinical decision-making, leading to inefficient use of health care resources, avoidance of interventions that may be indicated and useful, or use of interventions that do more harm than good. A literature search of PubMed ® was conducted to answer the question, what are the challenges affecting the interpretation of clinical trial results reported in the medical literature that may adversely affect clinical decision making and patient outcomes and how can those challenges be overcome? Results of this review indicate it remains challenging for readers to fully appreciate the nuances that affect the accuracy, utility, and applicability of reported data, and opportunities exist for future continuing professional development interventions to address this challenge by giving health care professionals the knowledge and skills to critically evaluate and interpret literature-based information. The objective of this article is to assist new and aspiring clinicians as well as experienced practitioners in critically assessing the medical literature so they can be informed about the latest medical advances in their areas of specialty and interest and confidently and appropriately integrate this knowledge into clinical practice. This article aspires to be a tool for residency and fellowship program directors, clerkship faculty, mentors, and other HCPs engaged in clinical education.

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“…(7) Another factor to consider in the prestige market is the difficulty access to the benefit measured as the articles' acceptance rates. Moreover, it is a common belief that journals with lower acceptance rates are more "prestigious", and those considered of high impact have variable acceptance rates averaging 32%, which means that they reject almost 70% of the articles they receive (8). That is, the more articles rejected, the more "prestigious" the journal.…”

Section: Stm the Market Of Prestigementioning

confidence: 99%

Artigo de reflexão | Publicações científicas: Conhecimento como mercado ou como bem comum?

Caballero¹,

Fajardo²

2022

Global Rheumatology

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As publicações científicas tornaram-se o veículo preferencial para divulgar os avanços no campo da ciência. Nas últimas décadas, ocorreram mudanças importantes relacionadas à disseminação do conhecimento científico e, além disso, surgiram com força os movimentos de acesso aberto e o que tem sido chamado de ciência aberta. Da mesma forma, estas mudanças geraram uma modificação conceitual sobre o que eram as publicações científicas, o que representam atualmente e para onde podem ir no futuro. Os avanços tecnológicos também tornaram mais fácil e menos oneroso o compartilhamento do conhecimento, situação que, sem dúvida, está influenciando o desenvolvimento destas publicações. Neste artigo de reflexão descreveremos os fenômenos que surgiram em torno da divulgação da ciência, e faremos uma análise da informação disponível para, posteriormente, radiografar o presente das publicações científicas e projetar qual o futuro imediato desta importante atividade de publicação. Inicialmente, descreveremos as origens da publicação científica, as suas conquistas e o estabelecimento de uma indústria com mercado, bem como a existência de um empório de prestígio e os movimentos que defendem uma mudança na visão comercial do setor para que haja mais ciência como um bem comum. Além disso, revisaremos o papel das publicações científicas na América Latina e os desafios de uma indústria cujo principal produto é o conhecimento.

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Accept Me, Accept Me Not: What Do Journal Acceptance Rates Really Mean? [ICSR Perspectives]

Cited by 12 publications

References 5 publications

Machine Learning for Healthcare: A Bibliometric Study of Contributions from Africa

Machine Learning for Healthcare: A Bibliometric Study of Contributions from Africa

Reading Between the Lines: Navigating Nuance in Medical Literature to Optimize Clinical Decision-Making and Health Care Outcomes

Artigo de reflexão | Publicações científicas: Conhecimento como mercado ou como bem comum?

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