Fig. 7.

Knowledge mapping and network visualization on VOSviewer.

7a)Density visualization on keywords on 3D Printing in orthopaedics on Pubmed data. The words in the central red area were used most frequently.

7b)Networking of keywords in Pubmed data. Two terms are said to co-occur if they both occur on the same line. The smaller the distance between the two terms, the more significant the number of co-occurrences of the terms.

7c)Density visualization of co-authorship on 3D Printing in orthopaedics in Pubmed data.

7d)Networking of co-authorship in pubmed data.

7e)Density visualization of co-cited references on SCOPUS data. Different colors represent different co-cited times of articles. The color of an item was determined by the co-cited times, where by default colors range from blue (few times) to green (average times) to red (many times). Items in one red circle linked closer to each other than items in other areas. So the valuable papers with high co-cited times can be found in red circles.

7f)Networking on co-cited references of papers on 3D Printing in orthopaedics on SCOPUS data. Only a few papers were included. (The line between every 2 points means both were cited in one paper: if the line is thicker, the link between 2 papers is closer).

7g)Density visualization of journals publishing research on 3D Printing in orthopaedics in SCOPUS data.

7h)Networking of journals publishing research on 3D Printing in orthopaedics in SCOPUS data.