<p>(A) Keyword co-occurrence network containing only nodes with degree ≥ 10. Nodes represent keywords, and edges denote the joint appearance of keywords in a publication. Only nodes with degree ≥ 10 are shown. Both nodes and edges are scaled proportionally based on Bezier curve. Nodes are colored based on their categories: genotype, phenotype, analysis, and others. (B) Temporal profiles of selected keywords show the normalized frequency (frequency of keywords divided by number of publications) from 2008 to 2014. Hierarchical plot indicates clustering of selected keywords.</p
As an important analysis method in bibliometrics, co-word analysis is used to map knowledge domain a...
Abstract — Keywords of academic papers are jargons shared within a research domain as well as a summ...
(A) The network visualization of total author keywords (2,656 items) was conducted. (B) The overlay ...
<p>(A) shows the network of co-occurrences with 3994 nodes (threshold≥ 5). (B) shows the reduction o...
<p>(a) Average weight vs. endpoint degree and (b) average weighted nearest neighbor degree vs. node ...
Systematic reviews of scientific literature are important for mapping the existing state of research...
How to keep up with the tendency of the literature and grasp the key-points of them from the holisti...
Note: A threshold of 3 was applied for these 132 highly cited articles, which resulted in a total of...
Describing the evolution of science is a salient work not only for revealing the scientific trend bu...
<p>Node sizes are proportional to the number of papers and line thicknesses are proportional to the ...
Nodes are the keywords; edges are the co-occurrences of the pairs of keywords.</p
AbstractKeyword networks, formed from keywords occurring in scholarly articles provide a useful mech...
AbstractKeyword networks, formed from keywords occurring in scholarly articles provide a useful mech...
As an important analysis method in bibliometrics, co-word analysis is used to map knowledge domain a...
Nodes (entities) are the keywords of the articles, edges (links) are the co-occurrences of pairs of ...
As an important analysis method in bibliometrics, co-word analysis is used to map knowledge domain a...
Abstract — Keywords of academic papers are jargons shared within a research domain as well as a summ...
(A) The network visualization of total author keywords (2,656 items) was conducted. (B) The overlay ...
<p>(A) shows the network of co-occurrences with 3994 nodes (threshold≥ 5). (B) shows the reduction o...
<p>(a) Average weight vs. endpoint degree and (b) average weighted nearest neighbor degree vs. node ...
Systematic reviews of scientific literature are important for mapping the existing state of research...
How to keep up with the tendency of the literature and grasp the key-points of them from the holisti...
Note: A threshold of 3 was applied for these 132 highly cited articles, which resulted in a total of...
Describing the evolution of science is a salient work not only for revealing the scientific trend bu...
<p>Node sizes are proportional to the number of papers and line thicknesses are proportional to the ...
Nodes are the keywords; edges are the co-occurrences of the pairs of keywords.</p
AbstractKeyword networks, formed from keywords occurring in scholarly articles provide a useful mech...
AbstractKeyword networks, formed from keywords occurring in scholarly articles provide a useful mech...
As an important analysis method in bibliometrics, co-word analysis is used to map knowledge domain a...
Nodes (entities) are the keywords of the articles, edges (links) are the co-occurrences of pairs of ...
As an important analysis method in bibliometrics, co-word analysis is used to map knowledge domain a...
Abstract — Keywords of academic papers are jargons shared within a research domain as well as a summ...
(A) The network visualization of total author keywords (2,656 items) was conducted. (B) The overlay ...