Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Areas of Interest and Stigmatic Attitudes of the General Public in Five Relevant Medical Conditions: Thematic and Quantitative Analysis Using Twitter

16 references·6 citing·55 second hop

FromToDepth

this work references cited by second hop

References

2005Three Approaches to Qualitative Content Analysis44,511 cited
2015Mortality in Mental Disorders and Global Disease Burden Implications2,972 cited
2014The Impact of Mental Illness Stigma on Seeking and Participating in Mental Health Care1,639 cited
2012Global pattern of experienced and anticipated discrimination reported by people with major depressive disorder: a cross-sectional survey445 cited
2012Understanding the Factors That Influence the Adoption and Meaningful Use of Social Media by Physicians to Share Medical Information378 cited
2018Social Medicine: Twitter in Healthcare307 cited
2017The Reciprocal Relationship between Suicidality and Stigma252 cited
2017#WhyWeTweetMH: Understanding Why People Use Twitter to Discuss Mental Health Problems228 cited
2018Measuring attitudes towards mental health using social media: investigating stigma and trivialisation223 cited
2003Stigma and depression among primary care patients208 cited
2013Using Twitter for breast cancer prevention: an analysis of breast cancer awareness month196 cited
2016Trends In News Media Coverage Of Mental Illness In The United States: 1995–2014195 cited
2015Assessing health status in informal schizophrenia caregivers compared with health status in non-caregivers and caregivers of other conditions179 cited
2018

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

A systematic review of the impact of media reports of severe mental illness on stigma and discrimination, and interventions that aim to mitigate any adverse impact

146 cited

2014What Are Health-Related Users Tweeting? A Qualitative Content Analysis of Health-Related Users and Their Messages on Twitter141 cited

2018The effect of an infographic promotion on research dissemination and readership: A randomized controlled trial85 cited

Cited by

2020Evaluation of Korean-Language COVID-19–Related Medical Information on YouTube: Cross-Sectional Infodemiology Study139 cited
2016Association between recognition and help-seeking preferences and stigma towards people with mental illness81 cited
2022Areas of Interest and Social Consideration of Antidepressants on English Tweets: A Natural Language Processing Classification Study26 cited
2021Assessment of Antipsychotic Medications on Social Media: Machine Learning Study24 cited
2020What doubts, concerns and fears about COVID-19 emerged during the first wave of the pandemic?22 cited
2021Analysis of Tweets Containing Information Related to Rheumatological Diseases on Twitter17 cited