Diversifying the Impact Factor: Shifting from Mere Citations to True Representation DOI Creative Commons
Abdulqadir J. Nashwan

Editing Practice, Journal Year: 2023, Volume and Issue: 1

Published: Nov. 24, 2023

The journal impact factor (JIF) is a pivotal metric in academic publishing, offering glimpse into journal's relevance within its field by counting citations of recent articles. [1]Many scholars rely on the JIF when choosing where to submit their work, given prestige associated with high-impact journals.However, this has notable shortcomings.It's vulnerable skewing outlier papers that garner unusually high or low citations, potentially misrepresenting overall impact. [2] Additionally, JIF's emphasis may overlook research significant societal impacts but fewer citations. [3]Furthermore, doesn't diversity and inclusivity, sidelining journals emphasize diverse perspectives. [4] Consequently, while essential, it should be considered alongside other evaluative tools grasp research's comprehensive influence value.

Language: Английский

The Integration of Clinical Trials With the Practice of Medicine DOI
Derek C. Angus, Alison J. Huang, Roger Lewis

et al.

JAMA, Journal Year: 2024, Volume and Issue: 332(2), P. 153 - 153

Published: June 3, 2024

Optimal health care delivery, both now and in the future, requires a continuous loop of knowledge generation, dissemination, uptake on how best to provide care, not just determining what interventions work but also ensure they are provided those who need them. The randomized clinical trial (RCT) is most rigorous instrument determine works care. However, major issues with trials enterprise lack integration delivery compromise medicine's ability serve society.

Language: Английский

Citations

23

Fostering Supportive Online Communities: Exploring Bystander Intervention in Cyberbullying Prevention DOI Creative Commons
Muhammad Shoaib,

Irshad Ahmed Abbasi

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 20, 2025

Abstract Cyberbullying can profoundly impact individuals' mental health, leading to increased feelings of anxiety, depression, and social isolation. Psychological research suggests that cyberbullying victims may experience long-term psychological consequences, including diminished self-esteem academic performance. The widespread use media platforms among university students has raised major concerns over cyberbullying, which have detrimental effects on student well-being We designed CBNet, a convolutional neural network (CNN)-based model for detecting groups. developed comprehensive dataset collected from several popular students. Our results demonstrate CBNet notably outperforms both the traditional machine learning approaches RNN-based presents an outstanding value precision, recall, F1-score overall, with Area Under ROC Curve significantly higher than 0.99. Combined fact issue always remains relevant, these suggest high feasibility our suggested approach detection incidents. Given results, could be used as preventative tool educators, administrators, community managers combat behavior make online safer more welcoming This work importance advanced real-world problems contributes creation greater digital in students’ communities. By employing institutions take proactive measures mitigate harmful cultivate positive culture conducive success flourishing.

Language: Английский

Citations

0

Introducing the Team Card: Enhancing governance for medical Artificial Intelligence (AI) systems in the age of complexity DOI Creative Commons
Lesedi Mamodise Modise, Mahsa Alborzi Avanaki, Saleem Ameen

et al.

PLOS Digital Health, Journal Year: 2025, Volume and Issue: 4(3), P. e0000495 - e0000495

Published: March 4, 2025

This paper introduces the Team Card (TC) as a protocol to address harmful biases in development of clinical artificial intelligence (AI) systems by emphasizing often-overlooked role researchers' positionality. While bias medical AI, particularly Clinical Decision Support (CDS) tools, is frequently attributed issues data quality, this limited framing neglects how worldviews-shaped their training, backgrounds, and experiences-can influence AI design deployment. These unexamined subjectivities can create epistemic limitations, amplifying increasing risk inequitable applications settings. The TC emphasizes reflexivity-critical self-reflection-as an ethical strategy identify stemming from subjectivity research teams. By systematically documenting team composition, positionality, steps taken monitor unconscious bias, TCs establish framework for assessing diversity within teams impacts development. Studies across business, science, organizational contexts demonstrate that improves outcomes, including innovation, decision-making overall performance. However, diversity-diverse ways thinking problem-solving-must be actively cultivated through intentional, collaborative processes mitigate effectively. embedding into practices, may enhance model performance, improve fairness offer empirical basis evaluating influences mitigation efforts over time. represents critical step toward developing inclusive, ethical, effective care. A publicly available prototype presenting our accessible at https://www.teamcard.io/team/demo.

Language: Английский

Citations

0

Interdisciplinary collaboration in critical care alarm research: A bibliometric analysis DOI Creative Commons
Louis Agha-Mir-Salim, Lucas McCullum, Enrico Dähnert

et al.

International Journal of Medical Informatics, Journal Year: 2023, Volume and Issue: 181, P. 105285 - 105285

Published: Nov. 7, 2023

Alarm fatigue in nurses is a major patient safety concern the intensive care unit. This caused by exposure to high rates of false and non-actionable alarms. Despite decades research, problem persists, leading stress, burnout, harm resulting from true missed events. While engineering approaches reduce alarms have spurred hope, they appear lack collaboration between engineers produce real-world solutions. The aim this bibliometric analysis was examine relevant literature quantify level authorial nurses, physicians, engineers.We conducted articles on alarm reduction strategies critical published 2010 2022. Data were extracted at article author level. percentages disciplines per publication calculated study design, journal subject area, other article-level factors.A total 155 with 583 unique authors identified. 31.73 % (n = 185) had nursing background, publications using an design 46), e.g., model development, very low involvement (mean proportion 1.09 %). Observational studies 58) interventional 33) higher mean 52.27 47.75 %, respectively. Articles journals 32) highest (80.32 %), while those 46) lowest (9.00 6 (13.04 %) having one or more as co-authors.Minimal expertise research utilizing methodologies may be reason for successful, solutions ameliorate fatigue. Fostering collaborative, interdisciplinary culture can promote common across fields yield sustainable implementation technological healthcare.

Language: Английский

Citations

6

Patient diversity and author representation in clinical studies supporting the Surviving Sepsis Campaign guidelines for management of sepsis and septic shock 2021: a systematic review of citations DOI Creative Commons
Lama Nazer, Aseel Abusara,

Batoul Aloran

et al.

BMC Infectious Diseases, Journal Year: 2023, Volume and Issue: 23(1)

Published: Nov. 1, 2023

Abstract Background The generalizability of the Surviving Sepsis Campaign (SSC) guidelines to various patient populations and hospital settings has been debated. A quantitative assessment diversity representation in clinical evidence supporting would help evaluate recommendations identify strategic research goals priorities. In this study, we evaluated patients original studies, terms sex, race/ethnicity, geographical location. We also assessed sex among study first last authors. Methods All studies cited support 2021 SSC adult guideline were identified. Original included, while editorials, reviews, non-clinical meta-analyses excluded. For eligible recorded proportion male patients, percentage each represented racial/ethnic subgroup (when available), countries which they conducted. location World Bank classification was used categorize countries. Results included six sections, with 85 based on 351 studies. ranged from 47 62%. Most did not report racial/ ethnic distribution patients; when so, most White (68–77%). conducted high-income (77–99%), Europe/Central Asia (33–66%) North America (36–55%). Moreover, first/last authors males (55–93%) (77–99%). Conclusions To enhance SCC guidelines, stakeholders should define strategies Though there reasonable reflect race/ethnicity locations. There lack contributing evidence.

Language: Английский

Citations

5

Datawiz-IN: Summer Research Experience for Health Data Science Training DOI Creative Commons
Sadia Afreen,

Alexander Krohannon,

Saptarshi Purkayastha

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: March 29, 2024

Abstract Background: Good science necessitates diverse perspectives to guide its progress. This study introduces Datawiz-IN, an educational initiative that fosters diversity and inclusion in AI skills training research. Supported by a National Institutes of Health R25 grant from the Library Medicine, Datawiz-IN provided comprehensive data machine learning research experience students underrepresented minority groups medicine computing. Methods: The program evaluation triangulated quantitative qualitative measure representation, innovation, experience. Diversity gains were quantified using demographic analysis. Computational projects systematically reviewed for productivity. A mixed-methods survey gauged participant on gained, support quality, challenges faced, overall sentiments. Results: first cohort 14 Summer 2023 demonstrated quantifiable increases with greater participation women minorities, evidencing efficacy proactive efforts engage talent typically excluded these fields. student interns conducted innovative elucidated disease mechanisms, enhanced clinical decision systems, analyzed health disparities. Conclusion: By illustrating how purposeful catalyzes offers model developing systems reflect true diversity. Realizing full societal benefits requires sustaining pathways historically voices help shape field.

Language: Английский

Citations

1

L’évaluation dans la recherche en biologie et santé : état des lieux et perspectives DOI Creative Commons
Bruno Clément,

A. Migus,

Patrick Netter

et al.

Bulletin de l Académie Nationale de Médecine, Journal Year: 2024, Volume and Issue: 208(4), P. 423 - 427

Published: Feb. 14, 2024

Citations

0

Bibliometric Analysis of Myelomeningocele Management: National Disease Burden versus Publication Volume DOI Creative Commons
Belinda Shao,

Alphadenti Harlyjoy,

Olivia Kozel

et al.

World Neurosurgery, Journal Year: 2024, Volume and Issue: 194, P. 123444 - 123444

Published: Dec. 7, 2024

Myelomeningocele (MMC) disproportionately affects low-resource areas and regions without mandatory folic acid fortification. No specific literature exists on the distribution of research output regarding neurosurgical management myelomeningocele worldwide in relation to regional disease burden. We aimed examine country origin patient population published papers MMC topics related MMC, determine whether these were proportionate A systematic search was conducted aspects care. The geographic examined against national burden disease. Bibliometric analysis quantified author affiliations stratified by World Bank income group classification fortification status, juxtaposed with From 9692 titles, 1843 included, representing 107,446 patients 2650 authorship instances. High-income countries (HICs) constituted 3% 2019's global neural tube defect (NTD) births, 74% authorships, 83% represented. Upper-middle-income (UMICs) represented 9% NTD 16% patients. Lower-middle-income (LMICs) 55% births but only 8.6% authorships 7% Low-income (LICs) shouldered 32% contributed 1.3% 1.6% Countries 75% 54% authorships. Postnatal repair, hydrocephalus, postoperative complications most frequently studied topics. concerning originates predominantly from HICs. Published experiences LICs/LMICs are scarce, even though they constitute majority affected population. Neurosurgeons other health professionals must address this mismatch between publication volume order inform practice, policy, advocacy for care worldwide.

Language: Английский

Citations

0

Brain network asymmetry; diversity factor in publishing; Williams syndrome DOI

Jill Adams

The Transmitter, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

Language: Английский

Citations

0

Diversifying the Impact Factor: Shifting from Mere Citations to True Representation DOI Creative Commons
Abdulqadir J. Nashwan

Editing Practice, Journal Year: 2023, Volume and Issue: 1

Published: Nov. 24, 2023

The journal impact factor (JIF) is a pivotal metric in academic publishing, offering glimpse into journal's relevance within its field by counting citations of recent articles. [1]Many scholars rely on the JIF when choosing where to submit their work, given prestige associated with high-impact journals.However, this has notable shortcomings.It's vulnerable skewing outlier papers that garner unusually high or low citations, potentially misrepresenting overall impact. [2] Additionally, JIF's emphasis may overlook research significant societal impacts but fewer citations. [3]Furthermore, doesn't diversity and inclusivity, sidelining journals emphasize diverse perspectives. [4] Consequently, while essential, it should be considered alongside other evaluative tools grasp research's comprehensive influence value.

Language: Английский

Citations

0