| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/midm/ChenLYHW19 |
| P6179 | Dimensions Publication ID | 1113300244 |
| P356 | DOI | 10.1186/S12911-019-0757-4 |
| P932 | PMC publication ID | 6454597 |
| P698 | PubMed publication ID | 30961624 |
| P50 | author | Tianyong Hao | Q60971868 |
| Xieling Chen | Q90337407 | ||
| P2093 | author name string | Jun Yan | |
| Heng Weng | |||
| Yonghui Lun | |||
| P2860 | cites work | A bibliometric analysis of natural language processing in medical research. | Q52626036 |
| A comparative quantitative study of utilizing artificial intelligence on electronic health records in the USA and China during 2008-2017 | Q59790265 | ||
| Use of the Internet and E-mail for Health Care Information | Q61824585 | ||
| An index to quantify an individual's scientific research output | Q24537699 | ||
| The Source and Credibility of Colorectal Cancer Information on Twitter | Q28597203 | ||
| Internalised homonegativity predicts HIV-associated risk behavior in European men who have sex with men in a 38-country cross-sectional study: some public health implications of homophobia | Q28705993 | ||
| The rise of digital direct-to-consumer advertising?: Comparison of direct-to-consumer advertising expenditure trends from publicly available data sources and global policy implications | Q30974238 | ||
| Clustering by passing messages between data points | Q31091773 | ||
| YouTube as a source of chronic obstructive pulmonary disease patient education: a social media content analysis | Q34123896 | ||
| Online communities for breast cancer survivors: a review and analysis of their characteristics and levels of use. | Q34487952 | ||
| Twitter as a Potential Data Source for Cardiovascular Disease Research. | Q36146709 | ||
| Global reach of direct-to-consumer advertising using social media for illicit online drug sales | Q36890165 | ||
| Future-oriented tweets predict lower county-level HIV prevalence in the United States | Q38933759 | ||
| Why do patients seek an alternative channel? The effects of unmet needs on patients' health-related Internet use. | Q39883103 | ||
| Testicular cancer survivors' supportive care needs and use of online support: a cross-sectional survey. | Q40024417 | ||
| Tweeting About Prostate and Testicular Cancers: Do Twitter Conversations and the 2013 Movember Canada Campaign Objectives Align? | Q40254768 | ||
| Cancer Information Seeking Behaviors of Korean American Women: A Mixed-Methods Study Using Surveys and Focus Group Interviews | Q40965948 | ||
| Cancer talk on twitter: community structure and information sources in breast and prostate cancer social networks | Q43419814 | ||
| Premarital sexual intercourse among adolescents in an Asian country: multilevel ecological factors | Q49153628 | ||
| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P433 | issue | Suppl 2 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | social media | Q202833 |
| science mapping | Q59157040 | ||
| P304 | page(s) | 50 | |
| P577 | publication date | 2019-04-09 | |
| P1433 | published in | BMC Medical Informatics and Decision Making | Q15757608 |
| P1476 | title | Discovering thematic change and evolution of utilizing social media for healthcare research | |
| P478 | volume | 19 |
| Q125563885 | Intelligent Recommendations of Startup Projects in Smart Cities and Smart Health Using Social Media Mining |
| Q89497444 | Telephone Consultation and Prescription in Pediatrics: Contributing Factors and Impact on Clinical Outcomes |
| Q91596780 | Topics and trends in artificial intelligence assisted human brain research |
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