ArticleScientometrics2011
Structure and infrastructure of infectious agent research literature: SARS.
Article in Scientometrics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- An overview of literature on COVID-19, MERS and SARS: Using text mining and latent Dirichlet allocation.Journal of information science · 2022Article
- Detecting Latent Topics and Trends in Global Publications on Brucellosis Disease Using Text Mining.Interdisciplinary perspectives on infectious diseases · 2022Article
- A bibliometric analysis of pandemic and epidemic studies in economics: future agenda for COVID-19 research.Social sciences & humanities open · 2021Article
- Temporal evolution, most influential studies and sleeping beauties of the coronavirus literature.Scientometrics · 2021Article
- Coronavirus: An insight into global research until outbreak of COVID-19 and its implications for the future.Journal of global health · 2020Article
- A Bibliometric Analysis of Corona Pandemic in Social Sciences: A Review of Influential Aspects and Conceptual Structure.IEEE access : practical innovations, open solutions · 2020Article
- Coronavirus mapping in scientific publications: When science advances rapidly and collectively, is access to this knowledge open to society?Scientometrics · 2020Article
- Covid-19 pandemic and the unprecedented mobilisation of scholarly efforts prompted by a health crisis: Scientometric comparisons across SARS, MERS and 2019-nCoV literature.Scientometrics · 2020Article
- Infectious diseases citation patterns: mapping the literature 2008-2010.Journal of the Medical Library Association : JMLA · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Text mining was used to extract technical intelligence from the open source global SARS research literature. A SARS-focused query was applied to the Science Citation Index (SCI) (SCI 2008) database for the period 1998-early 2008. The SARS research literature infrastructure (prolific authors, key journals/institutions/countries, most cited authors/journals/documents) was obtained using bibliometrics, and the SARS research literature technical structure (hierarchical taxonomy) was obtained using computational linguistics/document clustering.
Indexed as
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.