Evidence map›Paper›PMID 34260375›Full record

ArticleJournal of medical Internet research2021

Correction: Quantifying Online News Media Coverage of the COVID-19 Pandemic: Text Mining Study and Resource.

Konrad Krawczyk, Tadeusz Chelkowski, Daniel J Laydon, Swapnil Mishra, Denise Xifara, Benjamin Gibert, Seth Flaxman, Thomas Mellan, Veit Schwämmle, Richard Röttger and 2 more

Abstract readPublished Erratum
In one paragraph

Article in Journal of medical Internet research, 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

12 authors.

Konrad KrawczykDepartment of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark.ORCID https://orcid.org/0000-0003-2012-0803
Tadeusz ChelkowskiDepartment of Management in the Network Society, Kozminski University, Warsaw, Poland.ORCID https://orcid.org/0000-0003-0297-3650
Daniel J LaydonDepartment of Infectious Disease Epidemiology, MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-4270-3321
Swapnil MishraDepartment of Infectious Disease Epidemiology, MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-8759-5902
Denise XifaraNupinion, London, United Kingdom.ORCID https://orcid.org/0000-0001-5529-8033
Benjamin GibertNupinion, London, United Kingdom.ORCID https://orcid.org/0000-0001-8457-3137
Seth FlaxmanDepartment of Mathematics, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-2477-4217
Thomas MellanDepartment of Infectious Disease Epidemiology, MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-4185-9930
Veit SchwämmleDepartment of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark.ORCID https://orcid.org/0000-0002-9708-6722
Richard RöttgerDepartment of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark.ORCID https://orcid.org/0000-0003-4490-5947
Johannes T HadsundDepartment of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark.ORCID https://orcid.org/0000-0002-1185-6694
Samir BhattDepartment of Infectious Disease Epidemiology, MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-0891-4611

Funding

Medical Research Council MR/R015600/1
6 · The paper itself

Abstract

[This corrects the article DOI: 10.2196/28253.].

Identifiers

PMID34260375
PMCPMC8319775

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.