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    <identifier>10.57760/sciencedb.44101</identifier>
    <datestamp>2026-07-24T15:38:49Z</datestamp>
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  <dc:date>2026-07-24</dc:date>
  <dc:title>Visualization Dataset for Bibliometric Analysis of Family Burden in Mental Disorders</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.44101</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset comprises nine core visualization charts derived from a bibliometric analysis of 1,437 English-language publications related to family burden in mental disorders. Publications were retrieved from the Web of Science Core Collection (WoSCC), with publication years spanning from 2003 to 2025. Data processing strictly followed bibliometric standards. Raw data were downloaded on June 7, 2026; after deduplication and format conversion using CiteSpace 6.2.R3, different parameter settings were adopted according to specific analytical objectives.Figure 2 (Network map of country collaborations) and Figure 3 (Network map of institutional collaborations) illustrate the distribution of publications across 80 countries and cross-regional collaborative linkages, revealing synergistic relationships among core research institutions. Figure 4 (Network map of author collaborations) and Figure 5 (Network map of author co-citations) depict clusters of prolific scholars and the pivotal role of key authors as knowledge hubs, respectively. Figure 6 (Network map of document co-citations) reveals the foundational knowledge base organized around two dimensions including disease types and caregiving support. Figure 7 (Network map of keyword co-occurrence) highlights the central position of core research themes. Figure 8 (Cluster map of keywords) systematically presents the intellectual structure of the research field. Figure 9 (Timezone view of keywords), constructed with a one-year time slice, delineates the evolutionary trajectory of research topics across three distinct developmental phases. Finally, Figure 10 (Top 17 keywords with the strongest citation bursts) identifies 17 keywords with the highest burst strength, precisely marking research frontiers across different periods.</dc:description>
  <dc:subject>bibliometric analysis; family burden; mental disorders</dc:subject>
  <dc:creator>LI Xuanwen</dc:creator>
  <dc:creator>YANG Bo</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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