Bibliometric Insights Into the Evolution of Atrial Fibrillation and Dementia Research 2002-2022

Figure 1. Publication screening flow chart.

Figure 2. (A) The circular bar chart presents the annual publication count from 2002 to 2022. (B) The trend and fitted curve of the annual publication volume are presented, with R2 representing the coefficient of the model. A higher value of R2 indicates a better fitting effect of the equation. (C) The collaborative network among countries and regions is depicted, where the thickness of the lines denotes the level of collaboration intensity. (D). The geographic visualization map depicts participating countries, with lines symbolizing collaborations between countries and regions, and darker colors indicating higher publication volumes. Figure A was generated using the R (version 4.2.2) package “ggplot2.” Figure C was constructed using an online analysis platform available at http://bibliometric.com/. Figure D was created using the R (version 4.2.2) package “bibliometrix”.

Figure 3. (A) The bubble chart depicts the quantity of publications, citations, and average citations generated by various institutions. (B) Institutional collaboration network. (C) Visualization of Author Collaboration Network Analysis. (D) The analysis of the collaborative network visualization of authors’ citations reveals distinct clusters, with different colors representing each cluster. The size of the nodes corresponds to the frequency of occurrence. Figure A was generated using the R (version 4.2.2) package “ggplot2”. Figures B, C, and D were produced utilizing VOSviewer software (version 1.6.17).

Figure 4. (A) Bradford’s Law for journals involved in AF and AD research. (B) The annual publication volume curve of the top 6 journals with published articles. (C) The number of publications in the top 15 journals. (D) The top 10 most frequently cited journals. The figure was created R (4.2.2) package “bibliometrix.”

Figure 5. (A) The collaborative network of journals was visualized using VOSviewer for analysis. The nodes, represented by different colors, correspond to journals belonging to distinct clusters, with node size indicating their frequency of occurrence. (B) Analysis of collaborative network visualization of journals’ citations in VOSviewer. The size of the nodes indicates the frequency of their occurrence. (C). The dual-map overlay of journals on research of AF and dementia. Figures A and B were generated using VOSviewer software (version 1.6.17), while Figure C was constructed using CiteSpace software (version 6.2. R3).

Figure 6. (A) The top 10 keywords with the highest frequency. (B) The run chart depicting the annual cumulative changes in the frequency of high-frequency keywords. The figure was created R (4.2.2) package “bibliometrix.”

Figure 7. (A) Loud graph of high-frequency keywords. (B) Keyword visualization network. The nodes in different colors represent the different clusters, and the size of the nodes indicates the frequency of their occurrence. (C) Timeline view of keywords. The different colored horizontal lines with the label on the right represent the clusters formed by the keywords, the nodes on the horizontal lines represent the keywords, and the position of the nodes on the horizontal lines represents the year in which the literature containing the keywords first appeared, thus forming the timeline of the keywords cluster evolution. (D) The top 25 keywords with the strongest citation bursts. Figure A was created using the “bibliometrix” package in R (version 4.2.2), Figures B and C were constructed using VOSviewer software (version 1.6.17), and Figure D was generated using CiteSpace software (version 6.2. R3).