ArticleInternational journal of environmental research and public health2014
Bacterial meningitis: a density-equalizing mapping analysis of the global research architecture.
Article in International journal of environmental research and public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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.
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Who cites it
10 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
- Bibliometric analysis of bacterial central nervous system infection research in Southeast Asia.BMC neurology · 2021Article
- Reply to Comment on Chen, J., Su, Y., Si, H., Chen, J. Managerial Areas of Construction and Demolition Waste: A Scientometric Review.International journal of environmental research and public health · 2019Article
- New quality and quantity indices in science (NewQIS): results of the first decade-project progress review.Scientometrics · 2019Article
- Human papilloma virus: global research architecture assessed by density-equalizing mapping.Oncotarget · 2018Article
- Ectopic pregnancy: exploration of its global research architecture using density-equalising mapping and socioeconomic benchmarks.BMJ open · 2017Article
- Ovarian cancer: density equalizing mapping of the global research architecture.International journal of health geographics · 2017Article
- 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
- Congenital toxoplasmosis: an in-depth density-equalizing mapping analysis to explore its global research architecture.Parasites & vectors · 2015Article
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
Bacterial meningitis is caused by a variety of pathogens and displays an important public health threat all over the world. Despite the necessity to develop customized public health-related research projects, a thorough study of global meningitis research is not present, so far. Therefore, the aim of this study was a combined density-equalizing and scientometric study. To evaluate the scientific efforts of bibliometric methods, density-equalizing algorithms and large-scale data analysis of the Web of Science were applied in the period between 1900 and 2007. From this, 7998 publications on bacterial meningitis have been found. With a number of 2698, most publications have been written by U.S. authors, followed by the UK (912), Germany (749) and France (620). This dominance can also be shown in the international cooperation. The specific citation analyses reveal that the nation with the highest average citation rate (citations per publications) was Norway (26.36), followed by Finland (24.16) and the U.S. (24.06). This study illustrates the architecture of global research on bacterial meningitis and points to the need for customized research programs with a focus on local public health issues in countries with a low development index, but high incidences, to target this global public health problem.
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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.