scholarly journals Four Facets to Know a Cancer Care-related Journal: An Example of Eur. J. Cancer Care (Engl.)

2020 ◽  
pp. 1-9
Author(s):  
Wan-Ting Hsieh ◽  
Tsair-Wei Chien ◽  
Willy Chou
Keyword(s):  
Breast Cancer ◽  
Decision Making ◽  
Rasch Model ◽  
Cancer Care ◽  
Deep Insight ◽  
Microsoft Excel ◽  
Pubmed Central ◽  
Productive Author ◽  
Insight Into ◽  
Productive Authors

Objective: This study aimed to investigate the journal features by collecting some data from Pubmed Central (PMC) and to interpret the characteristics of the journal for Eur J Cancer Care (Engl) (EJCC). Methods: Selecting 1611 abstracts and their corresponding author names and keywords on September 3, 2017, from PMC, we analyzed data mentioned above to address following features: (1) Nation distribution and author collaborations; (2) Journal features represented by article keywords; (3) The most productive authors and their authorship clusters; (4) The top 10 journals most similar to EJCC. Microsoft Excel VBA routines were programmed to extract data from PMC. Rasch model and SNA Pajek software were used to present visualized displays for EJCC features. Results: We found (1) the majority of the articles are from UK (28%) Australia (10%) and Sweden (5%); (2) The most linked Keywords are cancer and breast cancer; (3) The most productive author is R Sanson-Fisher; (4) The top one journal with the most similarity to EJCC is Support Care Cancer. Conclusion: Social network analysis that provides wide and deep insight into the relationships among nations, coauthor collaborations, abstract keywords and journals most similar to EJCC was performed in this study. The results can be provided to strategy and decision making for the target journal in the future.

The Most Cited Mesh Terms and Authors who Published Papers in Pubmed Central on the Topic of Medicine and Health Using Bibliometric Analyses

2019 ◽  
pp. 1-9
Author(s):  
Tsair-Wei Chien ◽  
Hing-Man Wu ◽  
Hsien-Yi Wang ◽  
Willy Chou
Keyword(s):  
Mesh Term ◽  
Deep Insight ◽  
Medical Subject Headings ◽  
Microsoft Excel ◽  
Pubmed Central ◽  
Current State ◽  
Mesh Terms ◽  
Control Gain ◽  
State Of Research ◽  
Insight Into

Aims: We visualized the current state of research on publication outputs and citations in the field of medicine and health to uncover topic burst and citations among medical subject headings (MeSH) clusters. Study Design: A bibliometric analysis. Place and duration of Study: Using Pubmed indexed articles to inspect the characteristics of topics on medicine and health since 1969. Methodology: Selecting 156 abstracts, author names, countries, and MeSH terms on January 10, 2019, from Pubmed Central (PMC) based on the terms of medicine and health in the title since 1969, we applied the x-index and impact factor to evaluate author individual research achievements and compute MeSH bibliometric performances. The bootstrapping method was used to estimate the median and its 95% confidence intervals and make differences in metrics among MeSH clusters. The dominant nations were selected using the x-index to display on a dashboard. We programmed Microsoft Excel VBA routines to extract data. Google Maps and Pajek software were used for displaying graphical representations. Results: We found that (1)the dominant countries/areas are the Unlited States, Taiwan, and Australia; (2) the author Grajales, Francisco Jose 3rd form Canada has the most cited metrics such as author IF=39.46 and x-index=6.28; (3)the MeSH terms of organization & administration, standards, and prevention & control gain the top three degree centralities among MeSH clusters; (4) No any differences in metrics were found among MeSH clusters; (5) the article(PMID= 24518354) with three MeSH term of delivery of health care, social media, and software and published in 2014 was cited most at least 62 times. Conclusion: Social network analysis provides wide and deep insight into the relationships among MeSH terms. The MeSH weighted scheme and x-index were recommended to academics for computing MeSH citations in the future.

scholarly journals Using Google Maps to Show the Pattern of International Co-Author Collaboration in Pharmaceutics

2018 ◽  
pp. 1-9
Keyword(s):  
Drug Delivery ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Graphical Representations ◽  
Deep Insight ◽  
Microsoft Excel ◽  
Google Maps ◽  
Future Studies ◽  
Insight Into

Objective: To understand international co-author collaboration in pharmaceutics and to visualize results by Google maps and social network analysis (SNA). Methods: Selecting 311 abstracts from the Medline based on keyword pharmaceutics [journal], we reported following features of pharmaceutics: (1) nation distribution across continents; (2) main keywords frequently displayed in papers; (3) the eminent author in pharmaceutics. We programmed Microsoft Excel VBA for extracting data from Medline. Google Maps and SNA Pajek software show graphical representations of pharmaceutics. Results: We found that (1) the most number of papers in nations are from U.S.(81, 16.05%) and Japan(34, 10.93%); (2) the most linked keywords are Pharmacokinetics and drug delivery; (3) the eminent authors are Muhammad Sohail Arshad(UK) and Takeshi Yokoo(Japan). Conclusion: Social network analysis provides wide and deep insight into relationships of entities we interested. The results drawn from Google maps can provide more information to future studies in academics.

scholarly journals A Survey of the Impact Lockdown Due to COVID-19 Pandemic on the Volume of Patients Accessing Breast Cancer Care in Nigeria

2020 ◽  
Vol 4 (2) ◽  
pp. 77-85
Author(s):  
Olayide S. Agodirin ◽  
Ganiyu A. Rahman ◽  
Samuel A. Olatoke ◽  
Isiaka Aremu ◽  
Asimiyu A. Shittu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Care ◽  
Microsoft Excel ◽  
Southwestern Nigeria ◽  
North Central ◽  
Resource Setting ◽  
Cancer Services ◽  
Definitive Surgery ◽  
Chemotherapy Patients ◽  
The Impact

Background: The coronavirus disease 2019 (COVID-19) pandemic has disrupted cancer care, among others and increased the suffering of breast cancer (BC) patient owing to the imposed lockdown. This is study investigated the impact of COVID-19 lockdown on the volume of BC patients accessing care in a poor resource setting . Methods: We surveyed general surgery units (GSU) in North central and Southwestern Nigeria during the first lockdown in April/May 2020. Using an electronically mailed questionnaire, we requested data on patients accessing clinics, chemotherapy and definitive surgery before and during lockdown. The data were analyzed and presented in descriptive statistics using SPSS v 20 and Microsoft Excel software. Results: Among the 22 GSUs, only 5(23%) prepared for maintaining oncology or breast cancer services during the lockdown. Compared to the volume before the lockdown, 15(60%) GSUs received <30% of the usual volume of new cases, 16 (73%) received <30% of the usual of patients chemotherapy patients and no patient accessed definitive surgery in 15 (68%) GSUs. Conclusion: There was a marked reduction in the volume of BC patients accessing outpatient clinics, chemotherapy facilities, and definitive surgery during the COVID-19 lockdown

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