ArticleBiology direct2015
Dynamics of social network structure for Alzheimer and Lymphoma scientific communities.
Article in Biology direct, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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
1 citing paper in PubMed.
- Quantification of race/ethnicity representation in Alzheimer's disease neuroimaging research in the USA: a systematic review.Communications medicine · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It is generally assumed that sociology affects scientific progress but specific examples of this assumption are hard to find. We examined this hypothesis by comparing the social network structure and its dynamics over the last 16 years, for two common human diseases; Alzheimer's disease, for which there has been very little therapeutic progress, and Lymphoma, were there has been significant therapeutic progress. We found that the Alzheimer's research community is more interlinked ('dense') and more 'cliquish' than that of Lymphoma and suggest that this could affect its scientific progress.
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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.