ArticleJournal of occupational medicine and toxicology (London, England)2008
Models of asthma: density-equalizing mapping and output benchmarking.
Article in Journal of occupational medicine and toxicology (London, England), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Caesarean Section--A Density-Equalizing Mapping Study to Depict Its Global Research Architecture.International journal of environmental research and public health · 2015Pooled it
- New quality and quantity indices in science (NewQIS): results of the first decade-project progress review.Scientometrics · 2019Article
- World-wide research architecture of vitamin D research: density-equalizing mapping studies and socio-economic analysis.Nutrition journal · 2018Article
- Endometriosis and its global research architecture: an in-depth density-equalizing mapping analysis.BMC women's health · 2016Article
- Global architecture of gestational diabetes research: density-equalizing mapping studies and gender analysis.Nutrition journal · 2016Review
- 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
- Type 2 Diabetes Research Yield, 1951-2012: Bibliometrics Analysis and Density-Equalizing Mapping.PloS one · 2015Article
- Airway hyper-responsiveness in lipopolysaccharide-challenged common marmosets (Callithrix jacchus).Clinical science (London, England : 1979) · 2014Article
- Nanoparticles and cars - analysis of potential sources.Journal of occupational medicine and toxicology (London, England) · 2012Article
- Tobacco smoke particles and indoor air quality (ToPIQ) - the protocol of a new study.Journal of occupational medicine and toxicology (London, England) · 2011Article
- Car indoor air pollution - analysis of potential sources.Journal of occupational medicine and toxicology (London, England) · 2011Article
- Scientometric analysis and combined density-equalizing mapping of environmental tobacco smoke (ETS) research.PloS one · 2010Article
- Scientometric analysis of the world-wide research efforts concerning Leishmaniasis.Parasites & vectors · 2010Article
- Density-equalizing mapping and scientometric benchmarking of European allergy research.Journal of occupational medicine and toxicology (London, England) · 2010Article
- Breast cancer research output, 1945-2008: a bibliometric and density-equalizing analysis.Breast cancer research : BCR · 2010Article
- New quality and quantity indices in science (NewQIS): the study protocol of an international project.Journal of occupational medicine and toxicology (London, England) · 2009Article
- Tobacco control: visualisation of research activity using density-equalizing mapping and scientometric benchmarking procedures.International journal of environmental research and public health · 2009Article
- Bibliometric analysis of obstructive sleep apnea research trends.Journal of the Chinese Medical Association : JCMA · 2009Article
- Interfield dysbalances in research input and output benchmarking: visualisation by density equalizing procedures.International journal of health geographics · 2008Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the large amount of experimental studies already conducted on bronchial asthma, further insights into the molecular basics of the disease are required to establish new therapeutic approaches. As a basis for this research different animal models of asthma have been developed in the past years. However, precise bibliometric data on the use of different models do not exist so far. Therefore the present study was conducted to establish a data base of the existing experimental approaches. Density-equalizing algorithms were used and data was retrieved from a Thomson Institute for Scientific Information database. During the period from 1900 to 2006 a number of 3489 filed items were connected to animal models of asthma, the first being published in the year 1968. The studies were published by 52 countries with the US, Japan and the UK being the most productive suppliers, participating in 55.8% of all published items. Analyzing the average citation per item as an indicator for research quality Switzerland ranked first (30.54/item) and New Zealand ranked second for countries with more than 10 published studies. The 10 most productive journals included 4 with a main focus allergy and immunology and 4 with a main focus on the respiratory system. Two journals focussed on pharmacology or pharmacy. In all assigned subject categories examined for a relation to animal models of asthma, immunology ranked first. Assessing numbers of published items in relation to animal species it was found that mice were the preferred species followed by guinea pigs. In summary it can be concluded from density-equalizing calculations that the use of animal models of asthma is restricted to a relatively small number of countries. There are also differences in the use of species. These differences are based on variations in the research focus as assessed by subject category analysis.
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.