How to catch trends using MeSH terms analysis?

Ilgisonis, Ekaterina V.; Pyatnitskiy, Mikhail A.; Tarbeeva, Svetlana; Aldushin, Artem A.; Ponomarenko, Elena A.

doi:10.1007/s11192-022-04292-y

Cited by 7 publications

(8 citation statements)

References 18 publications

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“…The research was performed using a combination of automatic text-analysis algorithms, ScanBious [ 16 , 17 ] and biocuration [ 18 ]. The automatic text-analysis algorithms used in this work have previously shown their effectiveness for reconstructing metabolic pathways [ 19 ], assessing the current state of the selected subject area [ 20 ], and investigating trends in scientific research in the field of biomedicine [ 21 ]. The PubMed/MEDLINE library of scientific publications in biology and medicine was used as a data source [ 22 ].…”

Section: Methodsmentioning

confidence: 99%

Food for Thought: Proteomics for Meat Safety

Tarbeeva

Kozlova

Sarygina

et al. 2023

Life

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Foodborne bacteria interconnect food and human health. Despite significant progress in food safety regulation, bacterial contamination is still a serious public health concern and the reason for significant commercial losses. The screening of the microbiome in meals is one of the main aspects of food production safety influencing the health of the end-consumers. Our research provides an overview of proteomics findings in the field of food safety made over the last decade. It was believed that proteomics offered an accurate snapshot of the complex networks of the major biological machines called proteins. The proteomic methods for the detection of pathogens were armed with bioinformatics algorithms, allowing us to map the data onto the genome and transcriptome. The mechanisms of the interaction between bacteria and their environment were elucidated with unprecedented sensitivity, specificity, and depth. Using our web-based tool ScanBious for automated publication analysis, we analyzed over 48 000 scientific articles on antibiotic and disinfectant resistance and highlighted the benefits of proteomics for the food safety field. The most promising approach to studying safety in food production is the combination of classical genomic and metagenomic approaches and the advantages provided by proteomic methods with the use of panoramic and targeted mass spectrometry.

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Section: Methodsmentioning

confidence: 99%

Food for Thought: Proteomics for Meat Safety

Tarbeeva

Kozlova

Sarygina

et al. 2023

Life

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“…6), as presented in previous articles. [22,[27][28][29][30]36,[60][61][62] There may be a reason for this result because physicians in schizophrenia must realize that T100SCIZ and related articles with higher CJAL scores are present in the current study.…”

Section: Additional Informationmentioning

confidence: 99%

Thematic maps with scatter and 4-quadrant plots in R to identity dominant entities on schizophrenia in psychiatry since 2017: Bibliometric analysis

Jang,

Chien,

Chou

2023

Medicine

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Background: Schizophrenia affects more than 21 million people worldwide. There have been a number of articles published in the literature regarding schizophrenia. It is unclear which authors contributed the most to the field of schizophrenia. This study examines which article entities (affiliated countries, institutes, journals, and authors) earn the most research achievements (RAs) and whether keywords in articles are associated with the number of article citations. Methods: As of August 25, 2022, 20,606 abstracts published on schizophrenia in psychiatry since 2017 were retrieved from the WoS core collection (WoSCC). RAs were measured using the category, JIF, authorship, and L-index (CJAL) score. The follower-leading cluster algorithm (FLCA) was used to examine clusters of keywords associated with core concepts of research. There were 7 types of visualizations used to report the study results, including Sankey diagrams, choropleth maps, scatter charts, radar plots, and cluster plots. A hypothesis was examined that the mean number of citations for keywords could predict the number of citations for 100 top-cited articles(T100SCHZ). Results: The results indicate that the US (18861), Kings College London (U.S. (2572), Psychiatry (14603), and Kolanu Nithin (Australia) (9.88) had the highest CJAL scores in countries, institutes, departments, and authors, respectively. The journal of Schizophrenia Res had higher citations (19,017), counts (1681), and mean citations (11.31) in journals. There was a significant correlation between article citations and weighted keywords (F = 1471.74; P < .001). Conclusion: Seven visualizations were presented to report the study results, particularly with thematic maps using scatter and 4-quadrant plots produced in R programming language. We recommend that more future bibliographical studies utilize CAJL scores and thematic maps to report their findings, not restrict themselves solely to schizophrenia in psychiatry as done in this study.

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“…Researchers have proposed the classification of research domains (RD) using MeSH terms [2,6,7] and social network analysis (SNA) [8,9] in studies. [2,[9][10][11] In biomedical sciences, MeSH terms provide a rich feature that can be combined with articles, cited references, and citing articles (ARCs) [2,9,10,12] to determine the author's RD.…”

Section: Using Mesh Terms To Cluster Research Domain For An Individua...mentioning

confidence: 99%

A comparison of 3 productive authors’ research domains based on sources from articles, cited references and citing articles using social network analysis

Chien

Huang

et al. 2022

Medicine

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Background: An individual's research domain (RD) can be determined from objective publication data (e.g., medical subject headings and Medical Subject Headings (MeSH) terms) by performing social network analysis. Bibliographic coupling (such as cocitation) is a similarity metric that relies on citation analysis to determine the similarity in RD between 2 articles. This study compared RD consistency between articles as well as their cited references and citing articles (ARCs).Methods: A total of 1388 abstracts were downloaded from PubMed and authored by 3 productive authors. Based on the top 3 clusters in social network analysis, similarity in RD was observed by comparing their consistency using the major MeSH terms in author articles, cited references and citing articles (ARC). Impact beam plots with La indices were drawn and compared for each of the 3 authors.Results: Sung-Ho Jang (South Korea), Chia-Hung Kao (Taiwan), and Chin-Hsiao Tseng (Taiwan) published 445, 780, and 163 articles, respectively. Dr Jang's RD is physiology, and Dr Kao and Dr Tseng's RDs are epidemiology. We confirmed the consistency of the RD terms by comparing the major MeSH terms in the ARC. Their La indexes were 5, 5, and 6, where a higher value indicates more extraordinary research achievement.Conclusion: RD consistency was confirmed by comparing the main MeSH terms in ARC. The 3 approaches of RD determination (based on author articles, the La index, and the impact beam plots) were recommended for bibliographical studies in the future. Abbreviations: ARC = author articles, cited references and citing articles, DVT = deep vein thrombosis, IBP = impact beam plot, IRA = individual research achievement, MeSH = medical subject heading, RD = research domain, SNA = social network analysis, WOS = Web of Science.

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How to catch trends using MeSH terms analysis?

Cited by 7 publications

References 18 publications

Food for Thought: Proteomics for Meat Safety

Food for Thought: Proteomics for Meat Safety

Thematic maps with scatter and 4-quadrant plots in R to identity dominant entities on schizophrenia in psychiatry since 2017: Bibliometric analysis

A comparison of 3 productive authors’ research domains based on sources from articles, cited references and citing articles using social network analysis

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