ArticleBMC infectious diseases2018
Bibliometric analysis of global Lassa fever research (1970-2017): a 47 - year study.
Article in BMC infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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
12 citing papers in PubMed, 29 citations in OpenAlex.
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- Mapping the scientific landscape of Lassa virus: a 55-year bibliometric study (1970-2025).Science in One Health · 2026Article
- First Comprehensive Global Bibliometric Analysis of Monkeypox Virus Research Landscape From 1976 to 2025.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2026Article
- Preliminary guideline for reporting bibliometric reviews of the biomedical literature (BIBLIO): a minimum requirements.Systematic reviews · 2023Article
- The bibliometric landscape of infectious disease research in Panama (1990-2019).Dialogues in health · 2023Review
- Thirty-five years (1986-2021) of HIV/AIDS in Nigeria: bibliometric and scoping analysis.AIDS research and therapy · 2022Article
- The Arab region's contribution to global COVID-19 research: Bibliometric and visualization analysis.Globalization and health · 2021Article
- Mapping the situation of research on coronavirus disease-19 (COVID-19): a preliminary bibliometric analysis during the early stage of the outbreak.BMC infectious diseases · 2020Article
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- A Bibliometric and Mapping Analysis of Glaucoma Research between 1900 and 2019.Ophthalmology. GlaucomaArticle
- Bibliometric analysis of global sickle cell disease research from 1997 to 2017.Hematology, transfusion and cell therapyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLassa fever has been a public health concern in the West African sub-region where it is endemic and a latent threat to the world at large. We investigated the trend in Lassa fever research using bibliometric approach.
methodsWe used the SCOPUS database employing "Lassa fever" as search descriptor. The most common bibliometric indicators were applied for the selected publications.
resultsThe number of scientific research articles retrieved for Lassa fever research from 1970 to 2017 was 1101. The growth of publications was more linear (r = 0.67) than exponential (r = 0.53). The duplication time of the scientific articles was 9.19 years. Small number of authors were responsible for bulk of the article production (transience index of 78.89%). The collaboration index was 4.59 per paper. The Bradford core consisted of 19 journals in which Journal of Virology was at the top (4.6%). Majority of the output were from USA government agencies. United States was the most productive country. Joseph B. McCormick was the most productive author, while New England Journal of Medicine published the two most cited articles.
conclusionThe growth of scientific Literature on Lassa fever was of linear pattern with high transient authors indicating low productivity and non-specialized authors from other related areas publishing sporadically. This study provides a helpful reference for medical virologists, epidemiologist, policy decision makers, academics and Lassa fever researchers.
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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.