Evidence map›Paper›PMID 33723314›Full record

ArticleCommunications biology2021

Publisher Correction: Universal probabilistic programming offers a powerful approach to statistical phylogenetics.

Fredrik Ronquist, Jan Kudlicka, Viktor Senderov, Johannes Borgström, Nicolas Lartillot, Daniel Lundén, Lawrence Murray, Thomas B Schön, David Broman

Abstract readPublished Erratum
PubMed Full text at PMC Publisher
In one paragraph

Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Fredrik Ronquist *Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden. fredrik.ronquist@nrm.se.ORCID http://orcid.org/0000-0002-3929-251X
Jan Kudlicka *Department of Information Technology, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0003-3806-4950
Viktor Senderov *Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-3340-5963
Johannes BorgströmDepartment of Information Technology, Uppsala University, Uppsala, Sweden.
Nicolas LartillotLaboratoire de Biométrie et Biologie Evolutive, UMR CNRS 5558, Université Claude Bernard Lyon 1, Villeurbanne, France.
Daniel LundénDepartment of Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-3127-5640
Lawrence MurrayUber AI, San Francisco, CA, USA.
Thomas B SchönDepartment of Information Technology, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0001-5183-234X
David BromanDepartment of Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID33723314
PMCPMC7961036

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.