Choropleth map legend design for visualizing the most influential areas in article citation disparities

Chien, Tsair‐Wei; Wang, Hsien-Yi; Hsu, Chin-Wang; Kuo, Shu‐Chun

doi:10.1097/md.0000000000017527

Cited by 51 publications

(54 citation statements)

References 24 publications

(31 reference statements)

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“…We applied the SC to represent the extent to which an entity plays a dominant role in a group. The SC concept is originated from test theory for identifying a one-dimension scale on an underlying construct [7][8][9][10].…”

Section: Discussionmentioning

confidence: 99%

“…We de ne the strength coe cient as the formula( [7][8][9][10], where λi represents the values(e.g., count or frequency) from top one to three in descending order. The SC from 0 to 1.0 is the strength of concentration to the rst one; the higher means, the stronger extent to which the monopoly is forward.…”

Section: The Strength Coe Cientmentioning

confidence: 99%

“…The SC from 0 to 1.0 is the strength of concentration to the rst one; the higher means, the stronger extent to which the monopoly is forward. The cutoff point is set at 0.7 [7][8], similar to the Cronbach Alpha in classical test theory. For instance, the rst institute has publications (= 846), followed by the second(=…”

Section: The Strength Coe Cientmentioning

confidence: 99%

“…The major problem of these HHI and Gini is that all elements(or fractions) are equally considered(or weighted) in a formula instead of focusing on the top one with the dominant role (i.e., the 100% monopoly or say the strength of the competition). The scenario is rather similar to what we investigate one questionnaire forming a unidimensional construct using Eigenvalues to de nition [7,8]. The dimension coe cient(DC) is de ned by the top three eigenvalues(λi) with the formula(=[( λ1/λ2)/(λ2/λ3)]/[1+[( λ1/λ2)/(λ2/λ3)]]) and criterion(≥ 0.70), where λi stands for the number of Eigenvalues in descending order [9,10], The ratio of DC is renamed as separation index(SI) [1] [or strength coe cient(SC) in this study] for representing the dominant extent to which the role plays in a set of entities.…”

Section: Introductionmentioning

confidence: 99%

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Using the strength coefficient(SC) to evaluate the most number of publications in research affiliations involving COVID-19 till April 14, 2020: A bibliometric analysis

Yeh

Lin

Chien

2020

Preprint

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Background: When the COVID-19 outbreak spreads to the world, many articles related to it have been published in academics. Since the largest quantity of confirmed cases was reported in China till April 14, 2020, whether the number of Chinese articles of research associated with the COVID-19 topped globally is required to be examined. Thus, an objective measure determining the dominant role in a group should be defined. This study aims to propose an index (strength coefficient, SC) to evaluate the most influential research affiliations in publications of COVID-19. Methods: We simulated data to verify the separation index that can be viable in use for determining the dominant one that has the absolute advantage in a group. We selected 4,369 articles as of April 14, 2020, with abstracts from the Pubmed Central (PMC) based on the keywords COVID-19 or 2019-nCOV. An author-weighted scheme (AWS) was applied to quantify coauthor credits in the article byline. Social network analysis incorporated with SC(from 0 to 1.0 and cutoff=0/70) was applied to display the influential (1) article types, (2)countries, (3)medical subject headings(MeSH terms), and (4) research affiliations. Visual dashboards were created for displaying the results on Google Maps. Results: We observed that the top one(SC) in each topic consists of (1) journal article(0.81), (2) China(0.61),(3) Acad Radol, (4) betacoronavirus (0.66), and (5) Hazhong University of Science and Technology(0.77) in article types, countries, journals, MeSH terms, and research affiliations, respectively. Conclusion: We applied the SC to identify the strength of the top one over the next two. The SC was useful and viable in verifying the dominant role in a group. The implementation and application are worthy of further studies in the future.

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Section: Discussionmentioning

confidence: 99%

Section: The Strength Coe Cientmentioning

confidence: 99%

Section: The Strength Coe Cientmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Using the strength coefficient(SC) to evaluate the most number of publications in research affiliations involving COVID-19 till April 14, 2020: A bibliometric analysis

Yeh

Lin

Chien

2020

Preprint

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“…Three plots of the choropleth map [ 29 ], the bar chart, and the Kano model [ 11 ] were applied to display IRA features for affiliated countries/areas and authors based on the 18,808 abstracts and the top 100 most cited articles, respectively.…”

Section: Task 2: X -Index For Affiliated Countriesmentioning

confidence: 99%

Using Kano diagrams to display the most cited article types, affiliated countries, authors and MeSH terms on spinal surgery in recent 12 years

et al. 2021

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Background Citation analysis has been increasingly applied to assess the quantity and quality of scientific research in various fields worldwide. However, these analyses on spinal surgery do not provide visualization of results. This study aims (1) to evaluate the worldwide research citations and publications on spinal surgery and (2) to provide visual representations using Kano diagrams onto the research analysis for spinal surgeons and researchers. Methods Article abstracts published between 2007 and 2018 were downloaded from PubMed Central (PMC) in 5 journals, including Spine, European Spine Journal, The Spine Journal, Journal of Neurosurgery: Spine, and Journal of Spinal Disorders and Techniques. The article types, affiliated countries, authors, and Medical subject headings (MeSH terms) were analyzed by the number of article citations using x-index. Choropleth maps and Kano diagrams were applied to present these results. The trends of MeSH terms over the years were plotted and analyzed. Results A total of 18,808 publications were extracted from the PMC database, and 17,245 were affiliated to countries/areas. The 12-year impact factor for the five spine journals is 5.758. We observed that (1) the largest number of articles on spinal surgery was from North America (6417, 37.21%). Spine earns the highest x-index (= 82.96). Comparative Study has the highest x-index (= 66.74) among all article types. (2) The United States performed exceptionally in x-indexes (= 56.86 and 44.5) on both analyses done on the total 18,808 and the top 100 most cited articles, respectively. The most influential author whose x-index reaches 15.11 was Simon Dagenais from the US. (3) The most cited MeSH term with an x-index of 23.05 was surgery based on the top 100 most cited articles. The most cited article (PMID = 18164449) was written by Dagenais and his colleagues in 2008. The most productive author was Michael G. Fehlings, whose x-index and the author's impact factor are 13.57(= √(13.16*14)) and 9.86(= 331.57/33.64), respectively. Conclusions There was a rapidly increasing scientific productivity in the field of spinal surgery in the past 12 years. The US has extraordinary contributions to the publications. Furthermore, China and Japan have increasing numbers of publications on spinal surgery. This study with Kano diagrams provides an insight into the research for spinal surgeons and researchers.

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Investigation of the effects of hybrid modeling approaches, factor standardization, and categorical mapping on the performance of landslide susceptibility mapping in Van, Turkey

Öztürk

Uzel-Gunini

2022

Nat Hazards

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Choropleth map legend design for visualizing the most influential areas in article citation disparities

Abstract: Supplemental Digital Content is available in the text

Cited by 51 publications

References 24 publications

Using the strength coefficient(SC) to evaluate the most number of publications in research affiliations involving COVID-19 till April 14, 2020: A bibliometric analysis

Using the strength coefficient(SC) to evaluate the most number of publications in research affiliations involving COVID-19 till April 14, 2020: A bibliometric analysis

Using Kano diagrams to display the most cited article types, affiliated countries, authors and MeSH terms on spinal surgery in recent 12 years

Investigation of the effects of hybrid modeling approaches, factor standardization, and categorical mapping on the performance of landslide susceptibility mapping in Van, Turkey

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