ArticleStem cell reviews and reports2015
Fueling Hope: Stem Cells in Social Media.
Article in Stem cell reviews and reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 35 citations in OpenAlex.
- Challenging Reward Structures and Organizational Cultures that Propagate Stem Cell Hyperbole.Stem cell reviews and reports · 2025Review
- Patients seeking stem cell therapies-a prospective qualitative analysis from a Regenerative Medicine Consult Service.NPJ Regenerative medicine · 2022Article
- Gender bias and menstrual blood in stem cell research: A review of pubmed articles (2008-2020).Frontiers in genetics · 2022Article
- Challenging misinformation and engaging patients: characterizing a regenerative medicine consult service.Regenerative medicine · 2020Article
- Social Media Content About Children's Pain and Sleep: Content and Network Analysis.JMIR pediatrics and parenting · 2018Article
- Regulated and Unregulated Clinical Trials of Stem Cell Therapies for Stroke.Translational stroke research · 2017Article
- A blueprint for the next generation of ELSI research, training, and outreach in regenerative medicine.NPJ Regenerative medicine · 2017Review
- A Dichotomy of Information-Seeking and Information-Trusting: Stem Cell Interventions and Children with Neurodevelopmental Disorders.Stem cell reviews and reports · 2016Article
- In the Know and in the News: How Science and the Media Communicate About Stem Cells, Autism and Cerebral Palsy.Stem cell reviews and reports · 2016Article
- The Direct to Consumer Stem Cell Market and the Role of Primary Care Providers in Correcting Misinformation.Journal of primary care & community healthArticle
- Gordie Howe's "Miraculous Treatment": Case Study of Twitter Users' Reactions to a Sport Celebrity's Stem Cell Treatment.JMIR public health and surveillanceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Social media is broadening opportunities to engage in discussions about biomedical advances such as stem cell research. However, little is known about how information pertaining to stem cells is disseminated on platforms such as Twitter. To fill this gap, we conducted a content analysis of tweets containing (i) a stem cell keyword, and (ii) a keyword related to either spinal cord injury (SCI) or Parkinson disease (PD). We found that the discussion about stem cells and SCI or PD revolves around different aspects of the research process. We also found that the tone of most tweets about stem cells is either positive or neutral. The findings contribute new knowledge about Twitter as a connecting platform for many voices and as a key tool for the dissemination of information about stem cells and disorders of the central nervous system.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.