ArticleJournal of occupational medicine and toxicology (London, England)2010
Density-equalizing mapping and scientometric benchmarking of European allergy research.
Article in Journal of occupational medicine and toxicology (London, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Mammography: density equalizing mapping of the global research architecture.Quantitative imaging in medicine and surgery · 2021Article
- New quality and quantity indices in science (NewQIS): results of the first decade-project progress review.Scientometrics · 2019Article
- Article
- Contribution of Arab countries to pharmaceutical wastewater literature: a bibliometric and comparative analysis of research output.Annals of occupational and environmental medicine · 2016Article
- Bibliometric profile of the global scientific research on methanol poisoning (1902-2012).Journal of occupational medicine and toxicology (London, England) · 2015Article
- The Arab world's contribution to solid waste literature: a bibliometric analysis.Journal of occupational medicine and toxicology (London, England) · 2015Article
- Telemedicine - a scientometric and density equalizing analysis.Journal of occupational medicine and toxicology (London, England) · 2015Article
- Influenza: a scientometric and density-equalizing analysis.BMC infectious diseases · 2013Article
- Nanoparticles and cars - analysis of potential sources.Journal of occupational medicine and toxicology (London, England) · 2012Article
- Bicycle helmet use and non-use - recently published research.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
- Ships, ports and particulate air pollution - an analysis of recent studies.Journal of occupational medicine and toxicology (London, England) · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Due to the great socioeconomic burden of allergic diseases, research in this field which is important for environmental medicine is currently increasing. Therefore the European Union has initiated the Global Allergy and Asthma European network (GA2LEN). However, despite increasing research in the past years detailed scientometric analyses have not been conducted so far. This study is the first scientometric analysis in a field of growing interest. It analyses scientific contributions in European allergy research between 2001 and 2007. Three different meetings of the European Academy of Allergy and Clinical Immunology were analysed for contributions and an increase in both the amount of research and networks was found.
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.