ArticleBMC infectious diseases2013
Influenza: a scientometric and density-equalizing analysis.
Article in BMC infectious diseases, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 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
31 citing papers in PubMed.
- Research priorities and trends in pulmonary tuberculosis in Latin America: A bibliometric analysis.Heliyon · 2024Article
- Public Health Risk from Influenza Viruses: A Scientometric Analysis of Influenza Research.Iranian journal of public health · 2024Article
- Descriptive Mappings of Global-Related Research Studies on Invertebrates in the Context of Agriculture.TheScientificWorldJournal · 2024Article
- Out-Look on Worldwide Trends of Related Studies on Citrus Waste as Feed for Livestock Production: A Scientometric Analysis.Frontiers in research metrics and analytics · 2022Article
- COVID-19, Influenza, and Other Acute Respiratory Viral Infections: Etiology, Immunopathogenesis, Diagnosis, and Treatment. Part 2. Other Acute Respiratory Viral Infections.Molecular genetics, microbiology and virology : Molekulyarnaya genetika, mikrobiologiya i virusologiya · 2022Article
- Village chicken production and food security: a two-decade bibliometric analysis of global research trends.Agriculture & food security · 2022Article
- Global Research Trends on the Use of Nanotechnology to Boost Meat Production: A Scientometric Analysis.Frontiers in research metrics and analytics · 2021Article
- Coronavirus: An insight into global research until outbreak of COVID-19 and its implications for the future.Journal of global health · 2020Article
- Needlestick injuries: a density-equalizing mapping and socioeconomic analysis of the global research.International archives of occupational and environmental health · 2020Article
- Fifty years of sheep red blood cells to monitor humoral immunity in poultry: a scientometric evaluation.Poultry science · 2020Article
- 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
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- Social sciences research in the Central European city of Wrocław: A density-equalizing mapping analysis.PloS one · 2018Article
- Article
- Visualizing statistical significance of disease clusters using cartograms.International journal of health geographics · 2017Article
- Ovarian cancer: density equalizing mapping of the global research architecture.International journal of health geographics · 2017Article
- Article
- Bibliometric analysis of publications on Campylobacter: (2000-2015).Journal of health, population, and nutrition · 2016Article
- Snakebite Envenoming - A Combined Density Equalizing Mapping and Scientometric Analysis of the Publication History.PLoS neglected tropical diseases · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNovel influenza in 2009 caused by H1N1, as well as the seasonal influenza, still are a challenge for the public health sectors worldwide. An increasing number of publications referring to this infectious disease make it difficult to distinguish relevant research output. The current study used scientometric indices for a detailed investigation on influenza related research activity and the method of density equalizing mapping to make the differences of the overall research worldwide obvious. The aim of the study was to compare scientific effort over the time as well as geographical distribution including the cooperation on national and international level.
methodsTherefore, publication data was retrieved from Web of Science (WoS) of Thomson Scientific. Subsequently the data was analysed in order to show geographical distributions and the development of the research output over the time.The query retrieved 51,418 publications that are listed in WoS for the time interval from 1900 to 2009. There is a continuous increase in research output and general citation activity especially since 1990.
resultsThe identified all in all 51,418 publications were published by researchers from 151 different countries. Scientists from the USA participate in more than 37 percent of all publications, followed by researchers from the UK and Germany with more than five percent. In addition, the USA is in the focus of international cooperation.In terms of number of publications on influenza, the Journal of Virology ranks first, followed by Vaccine and Virology. The highest impact factor (IF 2009) in this selection can be established for The Lancet (30.75). Robert Webster seems to be the most prolific author contributing the most publications in the field of influenza.
conclusionsThis study reveals an increasing and wide research interest in influenza. Nevertheless, citation based-declaration of scientific quality should be considered critically due to distortion by self-citation and co-authorship.
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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.