Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Trends in funding of original articles published in dentistry journals of three specialties between 2005 -2009: A secondary research
0
Zitationen
3
Autoren
2020
Jahr
Abstract
Background: Funding helps in publication of articles since it is believed that funded researches are prestigious, more organized, and are of better quality. Aim was to assess the trends in funding of original articles based on geographic origin, research types and designs published in three specialty journals (2005-2009) and also to find association between funding, geographic origin and type of study. Methods: This study is a secondary research done in library setting. Original Articles from Journals (Both National and International present between 2005 - 2009 of Public Health Dentistry, Pedodontics and Periodontics were systematically accessed from Bapuji Dental College library. Results:Total of 2,090original articles (2005-2009) published in Public Health Dentistry (739), Periodontics (659) and Pedodontics (693) Journals were reviewed. More than half of the articles reported funding (51.9%) in Public Health Dentistry Journals, 42.5% of the published articles reported funding in Periodontics Journals, while only 26.6% of the articles reported funding in Pedodontics Journals. The most frequent source of funding was from government source in all the three journals. Most of the studies were from Europe in Public Health Dentistry Journals. Most of the funded studies were from Asia in Periodontics Journals while most of the funded studies were from Europe in Pedodontics Journals Conclusions: Since majority of funding was from public sector this calls for collaboration of private scientific bodies and organizations to promote research publications.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.493 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.377 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.835 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.555 Zit.