Work

Learning from social media: utilizing advanced data extraction techniques to understand barriers to breast cancer treatment

Year: 2016

Type: article

Source: Breast Cancer Research and Treatment

DOI: 10.1007/s10549-016-3872-2

Authors: Rachel A. Freedman, Kasisomayajula Viswanath, Ines Vaz-Luis, Nancy L. Keating

Institutions: Dana-Farber Cancer Institute, Harvard University, Brigham and Women's Hospital

Language: English

Topic: Social Media in Health Education

Subfield: Health

Field: Social Sciences

Domain: Social Sciences

SDGs: Good health and well-being, Reduced inequalities

Open Access status: green

Funders: American Cancer Society, Susan G. Komen for the Cure, Fundação para a Ciência e a Tecnologia, National Cancer Institute

Awards: Mecanismos de invasão e progressão em doença óssea metastática, Behavioral Economics and Improving Chemotherapy Decisions for Advanced Cancer

OpenAlex ID: W2463325516

FWCI: 7.144

Cites: 34

Cited by: 49

Related to: 10