Trends of Global Health Literacy Research (1995-2020): Analysis of Mapping Knowledge Domains Based on Citation Data Mining

DOI

This data could be used with CiteSpace to carry out a metric analysis of 9,492 health literacy papers included in Web of Science through mapping knowledge domains. The data processing is as follows: Publications with the subject term “Health Literacy” were searched in WoS, and the search was further optimized by the following conditions: language = English; document type = article + review. The number of search results was 9,888 (downloaded on September 19, 2020). Therefore, the period of the citing articles in our study is from January 1, 1995, to September 19, 2020. During the deduplication process, we excluded duplicate publications and articles with missing key fields, such as abstracts, keywords and references, resulting in 9,429 valid records for inclusion.

Publications with the subject term “Health Literacy” were searched in WoS, and the search was further optimized by the following conditions: language = English; document type = article + review. The number of search results was 9,888 (downloaded on September 19, 2020). Therefore, the period of the citing articles in our study is from January 1, 1995, to September 19, 2020. During the deduplication process, we excluded duplicate publications and articles with missing key fields, such as abstracts, keywords and references, resulting in 9,429 valid records for inclusion.

Identifier
DOI https://doi.org/10.5255/UKDA-SN-855097
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=2615c6ca622c485101cc7a4b08c7ccb4f7f893e71d155d434a4424eeb87ca695
Provenance
Creator Hua, F, Research Institute of Social Development, Southwestern University of Finance and Economics, Chengdu, China
Publisher UK Data Service
Publication Year 2021
Rights Shaojie Qi, Research Institute of Social Development, Southwestern University of Finance and Economics, Chengdu, China; The Data Collection is available to any user without the requirement for registration for download/access.
OpenAccess true
Representation
Resource Type Text
Discipline Social Sciences
Spatial Coverage China