Evidence map›Paper›PMID 34705522›Full record

ArticleScience translational medicine2021

Response to comment on "Genomic epidemiology of superspreading events in Austria reveals mutational dynamics and transmission properties of SARS-CoV-2".

Michael D Nicholson, Lukas Endler, Alexandra Popa, Jakob-Wendelin Genger, Christoph Bock, Franziska Michor, Andreas Bergthaler

Abstract readComment
PubMed Publisher
In one paragraph

Article in Science translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Michael D NicholsonCancer Research UK Edinburgh Centre, Institute of Genetics and Cancer, University of Edinburgh, Crewe Road, Edinburgh EH4 2XU, UK.ORCID 0000-0001-8476-4072
Lukas EndlerCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, 1090 Vienna, Austria.ORCID 0000-0002-9115-8756
Alexandra PopaCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, 1090 Vienna, Austria.ORCID 0000-0001-7156-272X
Jakob-Wendelin GengerCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, 1090 Vienna, Austria.ORCID 0000-0003-4502-1094
Christoph BockCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, 1090 Vienna, Austria.ORCID 0000-0001-6091-3088
Franziska MichorDepartment of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA.ORCID 0000-0003-4869-8842
Andreas BergthalerCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, 1090 Vienna, Austria.ORCID 0000-0003-0597-1976

Funding

Cancer Research UK 27589Cancer Research UK C157/A27589Medical Research Council MC_UU_00009/2
6 · The paper itself

Abstract

Further analysis of SARS-CoV-2 genome sequencing data identifies several highly recurrent genetic variants with low allele frequencies, which, if filtered out, provide estimates consistent with tighter transmission bottlenecks.

Indexed as

COVID-19SARS-CoV-2AustriaGenomicsHumansMutation

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.