Evidence map›Paper›PMID 34183662›Full record

ArticleNature communications2021

Author Correction: Cell segmentation-free inference of cell types from in situ transcriptomics data.

Jeongbin Park, Wonyl Choi, Sebastian Tiesmeyer, Brian Long, Lars E Borm, Emma Garren, Thuc Nghi Nguyen, Bosiljka Tasic, Simone Codeluppi, Tobias Graf and 4 more

Abstract readPublished Erratum
In one paragraph

Article in Nature communications, 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

14 authors.

Jeongbin Park *Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Digital Health Center, Kapelle-Ufer 2, 10117, Berlin, Germany.
Wonyl Choi *Department of Computer Science, Boston University, Boston, MA, USA.
Sebastian TiesmeyerBerlin Institute of Health at Charité-Universitätsmedizin Berlin, Digital Health Center, Kapelle-Ufer 2, 10117, Berlin, Germany.
Brian LongAllen Institute for Brain Science, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-7793-5969
Lars E BormDivision of molecular neurobiology, Department of medical biochemistry and biophysics, Karolinska Institutet, Stockholm, Sweden.
Emma GarrenAllen Institute for Brain Science, Seattle, WA, USA.
Thuc Nghi NguyenAllen Institute for Brain Science, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-6466-5883
Bosiljka TasicAllen Institute for Brain Science, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-6861-4506
Simone CodeluppiDivision of molecular neurobiology, Department of medical biochemistry and biophysics, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-7053-0520
Tobias GrafBerlin Institute of Health at Charité-Universitätsmedizin Berlin, Digital Health Center, Kapelle-Ufer 2, 10117, Berlin, Germany.
Matthias SchlesnerBioinformatics and Omics Data Analytics, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID http://orcid.org/0000-0002-5896-4086
Oliver StegleDivision of Computational Genomics and System Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Roland EilsBerlin Institute of Health at Charité-Universitätsmedizin Berlin, Digital Health Center, Kapelle-Ufer 2, 10117, Berlin, Germany. roland.eils@bih-charite.de.ORCID http://orcid.org/0000-0002-0034-4036
Naveed IshaqueBerlin Institute of Health at Charité-Universitätsmedizin Berlin, Digital Health Center, Kapelle-Ufer 2, 10117, Berlin, Germany. naveed.ishaque@bih-charite.de.ORCID http://orcid.org/0000-0002-8426-901X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID34183662
PMCPMC8238987

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.