scholarly journals Bibliometric Analysis of Global Scientific Research on lncRNA: A Swiftly Expanding Trend

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Xiao Zhai ◽  
Jian Zhao ◽  
Yiran Wang ◽  
Xianzhao Wei ◽  
Gengwu Li ◽  
...  
Keyword(s):  
Overall Survival ◽  
Web Of Science ◽  
Epithelial Mesenchymal Transition ◽  
H Index ◽  
Mesenchymal Transition ◽  
The Usa ◽  
Rapid Pace ◽  
Number Of Publications ◽  
Cluster 2 ◽  
Research Hotspots

To investigate trends in long-noncoding (lnc) RNA research systematically, we compared the contribution of publications among different regions, institutions, and authors. Publications on lncRNA were retrieved from Web of Science (WoS) from 1975 to 2017. A total of 3879 papers were identified, and together they were cited 62967 times. The literature on lncRNA had been continuously growing since 2006, and the expansion might continue at a rapid pace until around 2021. China contributed the greatest proportion (63.47%) of lncRNA publications, and the USA ranked second in the number of publications (944 articles), while it had the highest citation frequency (43168 times) and H-index (97). The journal Oncotarget has the greatest number of publications on lncRNA research, with 305 papers. The keywords could be stratified into two clusters: cluster 1 (application) and cluster 2 (characteristics). Correspondingly, the “TNM stage,” “epithelial mesenchymal transition (EMT),” “cell apoptosis,” and “overall survival” are research hotspots since 2015. Thus, research on lncRNA showed a swiftly expanding trend, with China making the largest contribution. The focus on lncRNA is gradually shifting from “characteristics” to “application.”

Bibliometric analysis of military trauma publications: 2000–2016

2018 ◽  
Vol 164 (3) ◽  
pp. 142-149 ◽  
Author(s):  
Mark L Vickers ◽  
C P Coorey ◽  
G J Milinovich ◽  
L Eriksson ◽  
M Assoum ◽  
...  
Keyword(s):  
Web Of Science ◽  
Blast Injury ◽  
Impact Factors ◽  
Long Term Effects ◽  
H Index ◽  
Military Trauma ◽  
The Usa ◽  
Number Of Publications ◽  
The Uk

IntroductionBibliometric tools can be used to identify the authors, topics and research institutions that have made the greatest impact in a field of medicine. The aim of this research was to analyse military trauma publications over the last 16 years of armed conflict in order to highlight the most important lessons that have translated into civilian practice and military doctrine as well as identify emerging areas of importance.MethodsA systematic search of research published between January 2000 and December 2016 was conducted using the Thompson Reuters Web of Science database. Both primary evidence and review publications were included. Results were categorised according to relevance and topic and the 30 most cited publications were reviewed in full. The h-index, impact factors, citation counts and citation analysis were used to evaluate results.ResultsA plateau in the number of annual publications on military trauma was found, as was a shift away from publications on wound and mortality epidemiology to publications on traumatic brain injury (TBI), neurosurgery or blast injury to the head. Extensive collaboration networks exist between highly contributing authors and institutions, but less collaboration between authors from different countries. The USA produced the majority of recent publications, followed by the UK, Germany and Israel.ConclusionsIn recent years, the number of publications on TBI, neurosurgery or blast injury to the head has increased. It is likely that the lessons of recent conflicts will continue to influence civilian medical practice, particularly regarding the long-term effects of blast-related TBI.

scholarly journals Global Research on Osteosarcoma, 1999–2019: A Bibliometric and Visual Analysis

2020 ◽  
Author(s):  
Han Wu ◽  
Baixing Wei ◽  
Yuanpei Cheng ◽  
Yongbo Li
Keyword(s):  
Visual Analysis ◽  
Web Of Science ◽  
The United States ◽  
Current Status ◽  
H Index ◽  
Global Trends ◽  
Basic Characteristics ◽  
Number Of Publications ◽  
Number Of Citations ◽  
Research Hotspots

Abstract Background Osteosarcoma is a primary malignant bone tumor that occurs in children and adolescents. Increasing numbers of scholars have studied its development and treatment. To fully understand the current status of osteosarcoma research and global trends therein, we performed a bibliometric and visual analysis of osteosarcoma studies published between 1999 and 2019. Methods We searched the Web of Science database for publications on osteosarcoma. The basic characteristics of this sample of publications, such as H indices, annual outputs, languages of publication, and authors, journals, institutions, and countries of origin, were determined. Co-citation, collaboration, and keyword co-occurrence were analyzed using CiteSpace software. Results The sample comprised 16,934 articles. The number of publications increased annually. H indices and total numbers of citations were far higher for articles from the United States than for those from other countries. Among institutions, the largest proportion of articles originated from Shanghai Jiaotong University. R. Gorlick was the author with the highest H index and total number of citations. Oncology Letters published the largest number of articles and Cancer Research was the most frequently cited journal. The five most frequently appearing keywords were “osteosarcoma,” “cancer,” “expression,” “apoptosis,” and “metastasis.” The analysis generated 10 major clusters of keywords and 23 clusters of co-cited references. Conclusions The findings of this study have guiding significance for researchers seeking cooperating institutions and partners for osteosarcoma research, popular journals and important literature in the field, an understanding of the knowledge base for this research, and up-to-date identification of research hotspots and trends. Keywords: osteosarcoma, bibliometric, citespace, visual analysis, co-citation

Bibliometric Analysis of Current Drug Metabolism: The Twentieth Anniversary from 2000-2019

2020 ◽  
Vol 21 (9) ◽  
pp. 685-703
Author(s):  
Waseem Hassan ◽  
Jean Paul Kamdem ◽  
Mohammad Amjad Kamal ◽  
Joao Batista Teixeira da Rocha
Keyword(s):  
United States ◽  
Drug Metabolism ◽  
Bibliometric Analysis ◽  
Continuous Growth ◽  
H Index ◽  
Current Drug ◽  
The Usa ◽  
Twentieth Anniversary ◽  
Number Of Publications ◽  
Number Of Citations

Background: Scopus is regularly covering Current Drug Metabolism from 2000 onwards. Objective: The major objective is to perform the 1st bibliometric analysis of Current Drug Metabolism (CDM). Methods: The data was retrieved from Scopus in April-May 2020 for detail analysis. Results: The total number of publications was found to be 1551, with 955 reviews (61.57%) and 466 articles (30.05%). From 2000 onwards, we calculated the relative growth rate and doubling time. Based on the number of publications, total 4418 authors, 3235 institutions and 83 countries were directly involved in all publications. M.A. Kamal is the highly productive scientist with fifty-three (53 or 3.73%) publications, King Abdulaziz University is the top university with the highest number of publications (58 or 4.13%) and the USA is the top-ranked country with 365 publications (25.96%). We also provided the h-index, total citations (TC), h-index without self-citations (WSC) and total WSC of the top ten authors, universities and countries. In citations analysis, Prof. Zhou S.F. was the top scientist with the highest (1594) number of citations. In institutional category Department of Drug Metabolism, Merck Research Laboratories, Rahway, United States, is the top ranked institutes with 654 total citations. While, United States is the top-ranked country with 18409 total citations. In co-words analysis, 3387, 30564 and 17333 terms in titles of the manuscripts, abstracts and keywords were recorded, respectively. This indicated that CDM principally focused on understanding drug development ranging from its efficacy to delivery, metabolism, distribution, safety and mechanism of actions. Similarly, various specific drugs were thoroughly discussed in publications. Various enzymatic, genetics, proteins and cancer-related aspects were also described. For data presentations, we used VOSviewer graphical maps. Conclusion: The data confirm that CDM showed continuous growth in the number of publications and citations. However significant measures are needed to make overall progress and improve the rankings in relevant categories.

scholarly journals Co-Expression of Coxsackievirus/Adenovirus Receptors and Desmoglein 2 in Lung Adenocarcinoma: A Comprehensive Analysis of Bioinformatics and Tissue Microarrays

2020 ◽  
Vol 9 (11) ◽  
pp. 3693
Author(s):  
Ching-Fu Weng ◽  
Chi-Jung Huang ◽  
Mei-Hsuan Wu ◽  
Henry Hsin-Chung Lee ◽  
Thai-Yen Ling
Keyword(s):  
Overall Survival ◽  
Survival Analysis ◽  
Lung Adenocarcinoma ◽  
Cox Regression ◽  
Epithelial Mesenchymal Transition ◽  
Early Stage ◽  
The Cancer Genome Atlas ◽  
Cancer Tissue ◽  
Mesenchymal Transition ◽  
Kaplan Meier

Introduction: Coxsackievirus/adenovirus receptors (CARs) and desmoglein-2 (DSG2) are similar molecules to adenovirus-based vectors in the cell membrane. They have been found to be associated with lung epithelial cell tumorigenesis and can be useful markers in predicting survival outcome in lung adenocarcinoma (LUAD). Methods: A gene ontology enrichment analysis disclosed that DSG2 was highly correlated with CAR. Survival analysis was then performed on 262 samples from the Cancer Genome Atlas, forming “Stage 1A” or “Stage 1B”. We therefore analyzed a tissue microarray (TMA) comprised of 108 lung samples and an immunohistochemical assay. Computer counting software was used to calculate the H-score of the immune intensity. Cox regression and Kaplan–Meier analyses were used to determine the prognostic value. Results: CAR and DSG2 genes are highly co-expressed in early stage LUAD and associated with significantly poorer survival (p = 0.0046). TMA also showed that CAR/DSG2 expressions were altered in lung cancer tissue. CAR in the TMA was correlated with proliferation, apoptosis, and epithelial–mesenchymal transition (EMT), while DSG2 was associated with proliferation only. The Kaplan–Meier survival analysis revealed that CAR, DSG2, or a co-expression of CAR/DSG2 was associated with poorer overall survival. Conclusions: The co-expression of CAR/DSG2 predicted a worse overall survival in LUAD. CAR combined with DSG2 expression can predict prognosis.

Literature analysis in relation to research on the five basic tastes

2019 ◽  
Vol 50 (1) ◽  
pp. 34-46 ◽  
Author(s):  
Andy Wai Kan Yeung ◽  
Thomas Hummel
Keyword(s):  
Design Methodology ◽  
Web Of Science ◽  
Similar Amount ◽  
Chemical Senses ◽  
H Index ◽  
Content Type ◽  
Umami Taste ◽  
Publication Number ◽  
The Family ◽  
The Usa

Purpose This study aims to investigate the literature concerning the five basic tastes and find out who contributed to these publications, where they were published and what concepts were investigated. Design/methodology/approach The Web of Science was searched to identify the relevant articles. For each paper, the full record and cited references were analyzed. Findings Sweetness received the most attention, with 6,445 publications, 144,648 citations and h-index of 137. It was followed by bitterness (5,606 publications and 125,525 citations), sourness (1,841 publications and 40,696 citations), umami (1,569 publications and 39,120 citations) and saltiness (1,547 publications and 33,627 citations). Though umami taste had similar publication number as salty and sour tastes, it had the highest number of average citations per publication (24.9). The USA, Japan, Germany and England were major contributors to research on every basic taste. Chemical Senses was the major outlet of taste papers. Terms from the titles suggested that multiple tastes were often co-investigated. Ikeda (1909) and Kodama (1913) were identified as the seminal references that laid the foundation of umami research. Originality/value Umami, although only added relatively late to the family of basic tastes, is a highly investigated principle that receives similar amount of attention as some other basic tastes, such as sourness and saltiness.

High expression of p300 in HCC predicts shortened overall survival in association with enhanced epithelial mesenchymal transition of HCC cells

2011 ◽  
Vol 310 (2) ◽  
pp. 140-147 ◽  
Author(s):  
Chihiro Yokomizo ◽  
Kanji Yamaguchi ◽  
Yoshito Itoh ◽  
Takeshi Nishimura ◽  
Atsushi Umemura ◽  
...  
Keyword(s):  
Overall Survival ◽  
Epithelial Mesenchymal Transition ◽  
High Expression ◽  
Mesenchymal Transition ◽  
Hcc Cells

Consensus gene expression analysis to identify key hallmarks of cancer in malignant melanoma.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e21045-e21045
Author(s):  
Emma O'Connor ◽  
Eileen E. Parkes ◽  
Leeona Galligan ◽  
James Bradford ◽  
Shauna Lambe ◽  
...  
Keyword(s):  
Gene Expression ◽  
Overall Survival ◽  
Gene Expression Analysis ◽  
Epithelial Mesenchymal Transition ◽  
Software Tool ◽  
Rna Seq ◽  
Combination Therapies ◽  
Hallmarks Of Cancer ◽  
Mesenchymal Transition ◽  
Melanoma Patients

e21045 Background: Traditionally gene expression signatures (GES) are used individually to classify patients into subgroups. Signatures targeting the same biology are often developed independently and may not classify identically. We developed the claraT software tool that uses consensus between multiple published GES categorised by the Hallmarks of Cancer (Hanahan & Weinberg, 2011) to classify cancers. As metastatic melanoma represents poor prognostic disease (5-yr survival 15-20%), we applied claraT to the TCGA melanoma dataset to identify targetable biologies, validated in a cohort of melanoma patients treated with Ipilimumab. Methods: TCGA RNA-seq data ( n= 472) was analysed using the claraT platform including GES for immune ( n= 14), angiogenesis ( n= 9) and epithelial-mesenchymal transition (EMT) ( n= 12) Hallmarks. Samples were clustered for the combined and individual Hallmarks. Median progression-free (PFS) and overall-survival (OS) differences were analysed across identified subgroups. Analysis was validated in an Ipilimumab treated melanoma dataset ( n= 42) (Van Allen, 2015). Results: Clustering the combined Hallmarks identified 4 subgroups in the TCGA cohort: 1) Immune active, 2) Immune-EMT active, 3) EMT-Angiogenesis active, 4) All inactive. Groups 1&2 had significantly improved OS compared to Groups 3&4 (HR = 0.50, p< 0.0001). Clustering using single Hallmarks revealed that immune-positive tumours had significantly improved OS (HR = 0.53, p< 0.0001) compared to immune-negative tumours. Angiogenesis-negative tumours displayed improved PFS (HR = 0.73, p= 0.03) and OS (HR = 0.53, p <0.0001) compared to angiogenesis-negative tumours. Interestingly the EMT Hallmark was not found to be individually prognostic. When validated in the Ipilimumab treated dataset, patients classified as immune-positive had improved OS (HR = 0.357, p= 0.010) when compared to immune-negative. Similar trends were also observed for angiogenesis and EMT Hallmarks. Conclusions: This study demonstrates how simultaneous analysis of multiple GES ( n= 35 in this study) can identify robust biologies through consensus expression. This platform may have value in the identification of reliable biomarkers for clinical trials and could inform how combination therapies targeting key biologies may be used in cancer treatment.

scholarly journals Bibliometric analysis of scientific production on international trade and cryptocurrency

2021 ◽  
Vol 8 (8) ◽  
pp. 42-51
Author(s):  
İlker İbrahim Avşar ◽  
◽  
Zehra Vildan Serin ◽  
Keyword(s):  
International Trade ◽  
Business Models ◽  
Web Of Science ◽  
Bibliometric Method ◽  
Mapping Analysis ◽  
New Business ◽  
The Usa ◽  
Publication Language ◽  
Number Of Publications ◽  
New Business Models

There has been a remarkable increase in the number of publications on international trade and cryptocurrency in recent years. This paper aims to analyze the literature on international trade and cryptocurrency in the Web of Science database. This study uses the bibliometric method and mapping analysis. The cluster analysis is conducted based on the keyword analysis. These publications are reviewed from different aspects such as type of publication, language, and book title. This study found that 767 articles which are related to cryptocurrency and international trade. Among the countries in which these studies are conducted, China ranks the first, followed by the USA and UK, respectively. Various organizations in different countries support studies on this topic. In conclusion, cryptocurrency technologies draw the attention of academia, and the use of cryptocurrency in international trade will determine the future trade structure. The innovative features of cryptocurrency can develop new business models, which may be the reason for the academic interest in this matter. It will be useful for businesses and governments to follow this potential carefully to benefit from the advantages of innovative business models.

scholarly journals The Association Between Professional Accounts on Social Networks Twitter and ResearchGate and the Number of Scientific Publications and Citations Among Anesthesia Researchers: Observational Study (Preprint)

2021 ◽  
Author(s):  
Thomas Clavier ◽  
Emilie Occhiali ◽  
Zoé Demailly ◽  
Vincent Compère ◽  
Benoit Veber ◽  
...  
Keyword(s):  
Social Networks ◽  
Web Of Science ◽  
Scientific Publication ◽  
Scientific Publications ◽  
H Index ◽  
The Social ◽  
Twitter Account ◽  
Number Of Publications ◽  
Number Of Citations ◽  
Science Citation Index Expanded

BACKGROUND Social networks are now essential tools for promoting research and researchers. However, there is no study investigating the link between presence or not on professional social networks and scientific publication or citation for a given researcher. OBJECTIVE The objective of this study was to study the link between professional presence on social networks and scientific publications/citations among anesthesia researchers. METHODS We included all the French full professors and associate professors of anesthesia. We analyzed their presence on the social networks Twitter (professional account with ≥1 tweet over the 6 previous months) and ResearchGate. We extracted their bibliometric parameters for the 2016-2020 period via the Web of Science Core Collection (Clarivate Analytics) database in the Science Citation Index-Expanded index. RESULTS A total of 162 researchers were analyzed; 42 (25.9%) had an active Twitter account and 110 (67.9%) a ResearchGate account. There was no difference between associate professors and full professors regarding active presence on Twitter (8/23 [35%] vs. 34/139 [24.5%], respectively; <i>P</i>=.31) or ResearchGate (15/23 [65%] vs. 95/139 [68.3%], respectively; <i>P</i>=.81). Researchers with an active Twitter account (median [IQR]) had more scientific publications (45 [28-61] vs. 26 [12-41]; <i>P</i>&lt;.001), a higher h-index (12 [8-16] vs. 8 [5-11]; <i>P</i>&lt;.001), a higher number of citations per publication (12.54 [9.65-21.8] vs. 10.63 [5.67-16.10]; <i>P</i>=.01), and a higher number of citations (563 [321-896] vs. 263 [105-484]; <i>P</i>&lt;.001). Researchers with a ResearchGate account (median [IQR]) had more scientific publications (33 [17-47] vs. 26 [9-43]; <i>P</i>=.03) and a higher h-index (9 [6-13] vs. 8 [3-11]; <i>P</i>=.03). There was no difference between researchers with a ResearchGate account and those without it concerning the number of citations per publication and overall number of citations. In multivariate analysis including sex, academic status, and presence on social networks, the presence on Twitter was associated with the number of publications (β=20.2; <i>P</i>&lt;.001), the number of citations (β=494.5; <i>P</i>&lt;.001), and the h-index (β=4.5; <i>P</i>&lt;.001). CONCLUSIONS Among French anesthesia researchers, an active presence on Twitter is associated with higher scientific publication and citations.

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