ArticleIranian journal of public health2022
Mapping the Intellectual Structure of Medical Sociology: A Co-Word Analysis.
Article in Iranian journal of public health, 2022. 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
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
1 citing paper in PubMed.
- Scientometrics Analysis of Global Researches on Anemia.International journal of hematology-oncology and stem cell research · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Medical sociology is concerned with the relationship between social factors and health, and with the application of sociological theory and research techniques to questions related to health and the health care system. Considering the wide range of studies in the field that each examined different aspects, to promote health in community, bibliometrics analysis in this area is felt. Methods: In this descriptive-analytical study with a scientometric approach, the data about "medical sociology" were retrieved from PubMed in MEDINE format, including 1226 records over the period 1945-2018. By using Co-word analysis, clustering methods, and strategic diagram with the help of SPSS, UcInet 6 software the data were analyzed. Results: The keyword "Attitude to Health" and two pairs of frequently used keywords, namely "Power (Psychology)*Professional Autonomy" were the most frequent in medical sociology. The results shaped the concepts of medical sociology in 7 clusters. The clusters "Attitude of health personnel", "Health Policy" and "Sociology of Medical Education" are topics that may be emerging or disappearing. The "Physicians", "Models of Social Determinants of Health" and "medical philosophy" are immature clusters. Conclusion: This research used co-word networks that indicate the important links between keywords of research areas. Considering the frequency of keywords along with the clusters obtained, it seems that the most research approach was seen on the medical aspect rather than the sociological aspect. Despite the importance of sociological aspects such as social rooting of disease, sociability, medicine as a social institution and etiological studies, these subjects have not been sufficiently considered.
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.