Generated: 2026-05-29 23:30 | Source: OpenAlex
This dashboard summarises 1,016 papers on Cocoa flavanol research retrieved from OpenAlex. The analysis covers 2,544 unique authors across 765 institutions in 77 countries.
Ranks institutions by paper count. Toggle between Papers and Citations. Hover for full details.
Ranks individual authors by paper count or total citations. Toggle between metrics using the buttons above the chart.
Degree = number of distinct co-authors a researcher has in this literature. Count = number of researchers with that many co-authors. Most authors collaborate with only a few others (low degree); a small number are highly connected hubs (high degree). The log–log panel reveals whether the distribution follows a power law, which is typical of real collaboration networks.
Each node is an author; an edge connects two authors who share at least one paper. Degree (node size) = number of distinct co-authors. Colour = Louvain community (research cluster detected by modularity optimisation). Click a community in the legend to isolate it.
Degree (x-axis) = number of distinct co-authors — a measure of direct connectivity. Betweenness centrality (y-axis) = fraction of shortest paths between all other author pairs that pass through this author — a measure of brokerage between research groups. Point size reflects total papers; colour reflects community.
Co-authored papers between top country pairs. Darker = more collaboration.
Papers (x) vs total citations (y), both on log scales.
Total citations per Louvain community. Hover for papers and cit/paper.
Left: paper count. Right: citations per paper.
Paper count per funder (OpenAlex funding coverage is partial — treat as lower bounds).
% papers acknowledging funding (left) and funded vs no-record stacked counts (right).
⚠ Experimental — partial coverage. Department names extracted heuristically from author affiliation strings.
Annual paper count with linear regression trend line.
Annual output for the top 8 countries.
Cumulative authors (blue, left axis) and collaborations (red, right axis).
Co-authorship network built cumulatively year by year. Use the slider or ▶ Play button.
Top-left: stacked bar showing each prolific author's papers by position: first (blue), last (green), middle (orange). Top-right: same data as 100% proportions. Bottom-left: each point is an author with ≥5 papers. X-axis = total papers; y-axis = middle-author rate (proportion of papers where the author is neither first nor last). A high middle-author rate indicates participation in many collaborations without leading them. The dashed line marks 0.70 as a reference threshold. Bottom-right: top-20 first-authors and top-20 last-authors.
Overall breakdown by study design. MeSH publication-type tags take priority; title keywords are used when MeSH is absent. Other = unclassifiable with current data.
Annual paper counts stacked by study design (2000–2024).
100 % stacked bar: each country's papers broken down by study design. Compare the RCT share across high-output countries.
Co-authorship network coloured and shaped by each author's dominant study type. Click legend entries to isolate a study type. Shapes: ● Observational · ◆ SR/MA · ■ Review · ▲ RCT · ✚ Clinical Trial · ○ Other.