Pathophysiology of a scientific paper

Meo, Sultan Ayoub; Eldawlatly, Abdelazeem

doi:10.4103/sja.sja_48_19

Cited by 6 publications

(3 citation statements)

References 9 publications

(11 reference statements)

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“…Scientific paper writing for science journals is a highly adroit, competitive, and laborious process. [ 7 ] The study strengths include the following:…”

Section: Discussionmentioning

confidence: 99%

“…In this modern era of science and technology, authors, for example, undergraduates, postgraduate students, physicians, and research scholars, are fascinated by writing scientific articles as academic scientists. [ 7 ] Once an author found a possible journal to submit his/her article to, reading its aims and scope is recommended for a brief introduction to the journal. [ 8 , 9 ] The journal's aims and scope can be seen in the journal's name, but this is not always true.…”

Section: Introductionmentioning

confidence: 99%

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The use of forest plot to identify article similarity and differences in characteristics between journals using medical subject headings terms

Yan

Chien

2021

Medicine

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Background: Comparison of similarity and difference in research types among journals are concerned in literature. However, to date, none display the methodology seen in selecting similar journals related to the target journal, as similar articles did to a given article. Authors need 1 effective method not only to find similar journals for their studies but also to know the difference in methods. This study (1) shows the similar journals for the target journal online displayed, and (2) identifies the effect of similarity odds ratio compared to the counterparts using the forest plots in Meta-analysis and the major medical subject headings (MeSH terms). Methods: We downloaded 1000 recent top 20 most similar articles related to the Respiratory Care journal from the PubMed library, plotted the clusters of related journals using social network analysis (SNA), and compared the MeSH terms in differences in an odds ratio unit using the forest plot relevant to Respiratory Care and the most similar journals. Q statistic and I -square ( I 2 ) index were used to evaluate the difference in the proportion of events. Results: This study found that (1) the journals related to Respiratory Care are easily presented on Google Maps; (2) 10 journal clusters were identified using SNA; (3) the top 3 MeSH terms are methods, therapy, and physiopathology, and (4) the odds ratios of MeSH terms between journals associated with the Respiratory Care showing different from Int J Chron Obstruct Pulmori Dis and similar to Curr Opin Endocrinol Diabetes Obes within heterogeneity with I 2 = 70.5% ( P < 0.001) and 0% ( P = 0.803), respectively. Conclusions: SNA and forest plots provide deep insight into the relationships between journals in MeSH terms. The results of this research can provide readers with a concept diagram that can be used for future submissions to a given journal.

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“…Scientific paper writing for science journals is a highly adroit, competitive, and laborious process. [ 7 ] The study strengths include the following:…”

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The use of forest plot to identify article similarity and differences in characteristics between journals using medical subject headings terms

Yan

Chien

2021

Medicine

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“…Scientific paper writing for science journals is a highly adroit, competitive, and laborious process. [36] The study strengths include the following:comparing abstract mood in the 2 journals; extracting article topics from MeSH terms using SNA; drawing visual representations through SNA, choropleth map, and forest plots that can inspire other relevant research to replicate the approaches for other 2-paired journals in comparison in the future; and providing readers with an easy copy-paste method to draw forest plots online. [37] Importantly, numerous meta-analysis studies have applied Review Manager (RevMan) software in publications.…”

Section: Implications and Applications Of The Studymentioning

confidence: 99%

Using sentiment analysis to identify similarities and differences in research topics and medical subject headings (MeSH terms) between Medicine (Baltimore) and the Journal of the Formosan Medical Association (JFMA) in 2020

Lin

Chien²,

Yeh³

et al. 2022

Medicine

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Background: Little systematic information has been collected about the nature and types of articles published in 2 journals by identifying the latent topics and analyzing the extracted research themes and sentiments using text mining and machine learning within the 2020 time frame. The goals of this study were to conduct a content analysis of articles published in 2 journals, describe the research type, identify possible gaps, and propose future agendas for readers.Methods: We downloaded 5610 abstracts in the journals of Medicine (Baltimore) and the Journal of the Formosan Medical Association (JFMA) from the PubMed library in 2020. Sentiment analysis (ie, opinion mining using a natural language processing technique) was performed to determine whether the article abstract was positive or negative toward sentiment to help readers capture article characteristics from journals. Cluster analysis was used to identify article topics based on medical subject headings (MeSH terms) using social network analysis (SNA). Forest plots were applied to distinguish the similarities and differences in article mood and MeSH terms between these 2 journals. The Q statistic and I 2 index were used to evaluate the difference in proportions of MeSH terms in journals. Results:The comparison of research topics between the 2 journals using the 737 cited articles was made and found that most authors are from mainland China and Taiwan in Medicine and JFMA, respectively, similarity is supported by observing the abstract mood (Q = 8.3, I 2 = 0, P = .68; Z = 0.46, P = .65), 2 journals are in a common cluster (named latent topic of patient and treatment) using SNA, and difference in overall effect was found by the odds ratios of MeSH terms (Q = 185.5 I 2 = 89.8, P< .001; Z = 5.93, P < .001) and a greater proportion of COVID-19 articles in JFMA.Conclusions: SNA and forest plots were provided to readers with deep insight into the relationships between journals in research topics using MeSH terms. The results of this research provide readers with a concept diagram for future submissions to a given journal.Abbreviations: AAC = absolute advantage coefficient, MeH = medical subject headings, OR = odds ratio, SNA = social network analysis.

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Comparison of colloid and crystalloid using goal-directed fluid therapy protocol in non-cardiac surgery: a meta-analysis of randomized controlled trials

2020

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Pathophysiology of a scientific paper

Cited by 6 publications

References 9 publications

The use of forest plot to identify article similarity and differences in characteristics between journals using medical subject headings terms

The use of forest plot to identify article similarity and differences in characteristics between journals using medical subject headings terms

Using sentiment analysis to identify similarities and differences in research topics and medical subject headings (MeSH terms) between Medicine (Baltimore) and the Journal of the Formosan Medical Association (JFMA) in 2020

Comparison of colloid and crystalloid using goal-directed fluid therapy protocol in non-cardiac surgery: a meta-analysis of randomized controlled trials

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