ArticleScoliosis2009
Scoliosis: density-equalizing mapping and scientometric analysis.
Article in Scoliosis, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Citation Analysis and Mapping of Iranian's Stem Cell Research Output.Medical journal of the Islamic Republic of Iran · 2023Article
- New quality and quantity indices in science (NewQIS): results of the first decade-project progress review.Scientometrics · 2019Article
- Mapping diabetes research in Middle Eastern countries during 2007-2013: A scientometric analysis.Medical journal of the Islamic Republic of Iran · 2018Article
- [A critical perspective on the global research activity in the field of bladder cancer].Der Urologe. Ausg. A · 2016Article
- Stem Cell Therapy for Myocardial Infarction 2001-2013 Revisited.Stem cell reviews and reports · 2015Article
- Telemedicine - a scientometric and density equalizing analysis.Journal of occupational medicine and toxicology (London, England) · 2015Article
- Bacterial meningitis: a density-equalizing mapping analysis of the global research architecture.International journal of environmental research and public health · 2014Article
- A bibliometric analysis of bipolar affective disorders using density-equalizing mapping and output benchmarking.Indian journal of psychiatry · 2012Article
- Breast cancer research output, 1945-2008: a bibliometric and density-equalizing analysis.Breast cancer research : BCR · 2010Article
- The role of endocarditis, myocarditis and pericarditis in qualitative and quantitative data analysis.International journal of environmental research and public health · 2009Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPublications related to scoliosis have increased enormously. A differentiation between publications of major and minor importance has become difficult even for experts. Scientometric data on developments and tendencies in scoliosis research has not been available to date. The aim of the current study was to evaluate the scientific efforts of scoliosis research both quantitatively and qualitatively.
methodsLarge-scale data analysis, density-equalizing algorithms and scientometric methods were used to evaluate both the quantity and quality of research achievements of scientists studying scoliosis. Density-equalizing algorithms were applied to data retrieved from ISI-Web.
resultsFrom 1904 to 2007, 8,186 items pertaining to scoliosis were published and included in the database. The studies were published in 76 countries: the USA, the U.K. and Canada being the most productive centers. The Washington University (St. Louis, Missouri) was identified as the most prolific institution during that period, and orthopedics represented by far the most productive medical discipline. "BRADFORD, DS" is the most productive author (146 items), and "DANSEREAU, J" is the author with the highest scientific impact (h-index of 27).
conclusionOur results suggest that currently established measures of research output (i.e. impact factor, h-index) should be evaluated critically because phenomena, such as self-citation and co-authorship, distort the results and limit the value of the conclusions that may be drawn from these measures. Qualitative statements are just tractable by the comparison of the parameters with respect to multiple linkages. In order to obtain more objective evaluation tools, new measurements need to be developed.
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.