Evidence map›Paper›PMID 33274250›Full record

ArticleNeurophotonics2020

Qinggong Tang, Vassiliy Tsytsarev, Feng Yan, Chen Wang, Reha S Erzurumlu, Yu Chen

Open access · goldAbstract read
In one paragraph

Article in Neurophotonics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 47% of its field
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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Qinggong TangUniversity of Oklahoma, Stephenson School of Biomedical Engineering, Norman, Oklahoma, United States.ORCID https://orcid.org/0000-0001-9499-5384
Vassiliy TsytsarevUniversity of Maryland School of Medicine, Department of Anatomy and Neurobiology, Baltimore, Maryland, United States.ORCID https://orcid.org/0000-0002-1901-4379
Feng YanUniversity of Oklahoma, Stephenson School of Biomedical Engineering, Norman, Oklahoma, United States.
Chen WangUniversity of Oklahoma, Stephenson School of Biomedical Engineering, Norman, Oklahoma, United States.
Reha S ErzurumluUniversity of Maryland School of Medicine, Department of Anatomy and Neurobiology, Baltimore, Maryland, United States.
Yu ChenUniversity of Maryland, Fischell Department of Bioengineering, College Park, Maryland, United States.
University of Maryland, Baltimore · USUniversity of Oklahoma · USUniversity of Maryland, College Park · USUniversity of Massachusetts Amherst · US

Funding

SOMATOSENSORY CORTICAL DEVELOPMENT AND PLASTICITYR01NS039050 · NINDS · UNIVERSITY OF MARYLAND BALTIMORE · PI ERZURUMLU, REHA S · 2000 to 2013
$4.6M
Consequences of Developmental Defects in Somatosensory Map formationR01NS084818 · NINDS · UNIVERSITY OF MARYLAND BALTIMORE · PI ERZURUMLU, REHA S · 2014 to 2024
$4.2M
Three-Dimensional Image-Guided Development and Optimization of Molecular Regulating Bone Regenerative ScaffoldsR01EB014946 · NIBIB · UNIV OF MARYLAND, COLLEGE PARK · PI CHEN, YU · 2015 to 2018
$1.3M
Depth-resolved Quantitative Multi-Modal Imaging for GI Cancer DetectionR21EB012215 · NIBIB · UNIV OF MARYLAND, COLLEGE PARK · PI CHEN, YU · 2011 to 2012
$411k
NIBIB NIH HHS R01 EB014946NIBIB NIH HHS R21 EB012215NINDS NIH HHS R01 NS039050NINDS NIH HHS R01 NS084818
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

channelrhodopsinfunctional brain mappingimaging three-dimensional neural activityintercortical connectionsmesoscopic fluorescence tomographyoptical tomographyoptogeneticssomatosensory systemvoltage-sensitive dye imagingwhiskers

Identifiers

PMID33274250
PMCPMC7708784
OpenAlexW3107654743

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.