Evidence map›Paper›PMID 27992230›Full record

ArticleThe journal of physical chemistry. B2017

pH and Potential Transients of the bc

Andreas F Geiss, Raghav Khandelwal, Dieter Baurecht, Christina Bliem, Ciril Reiner-Rozman, Michael Boersch, G Matthias Ullmann, Leslie M Loew, Renate L C Naumann

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The journal of physical chemistry. B, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
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

9 authors at 6 institutions in 4 countries.

Andreas F GeissBiosensor Technologies, Austrian Institute of Technology GmbH, AIT , Donau-City Street 1, 1220 Vienna, Austria.
Raghav KhandelwalIndian Institute of Technology Kanpur , Kalyanpur, Kanpur, Uttar Pradesh 208016, India.
Dieter BaurechtFaculty of Chemistry, Department of Physical Chemistry, University of Vienna , Währinger Straße 42, 1090 Vienna, Austria.
Christina BliemBiosensor Technologies, Austrian Institute of Technology GmbH, AIT , Donau-City Street 1, 1220 Vienna, Austria.
Ciril Reiner-RozmanBiosensor Technologies, Austrian Institute of Technology GmbH, AIT , Donau-City Street 1, 1220 Vienna, Austria.
Michael BoerschSingle-Molecule Microscopy Group, Jena University Hospital , Nonnenplan 2-4, 07743 Jena, Germany.
G Matthias UllmannComputational Biochemistry Group, University of Bayreuth , Universitätsstraße 30, NWI, 95447 Bayreuth, Germany.
Leslie M LoewR. D. Berlin Center for Cell Analysis and Modeling, University of Connecticut Health Center , Farmington, Connecticut 06030, United States.
Renate L C NaumannBiosensor Technologies, Austrian Institute of Technology GmbH, AIT , Donau-City Street 1, 1220 Vienna, Austria.ORCID 0000-0003-1975-4681
Austrian Institute of Technology · ATIndian Institute of Technology Kanpur · INJena University Hospital · DEUConn Health · USUniversity of Bayreuth · DEUniversity of Vienna · AT

Funding

Potentiometric Dyes and Membrane PermeabilityR01EB001963 · NIBIB · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI LOEW, LESLIE M · 2003 to 2016
$4.5M
NIBIB NIH HHS R01 EB001963
6 · The paper itself

Abstract

His-tag technology is employed to bind membrane proteins, such as the bc

Indexed as

Electron Transport Complex IIIHydrogen-Ion ConcentrationLipid BilayersLiposomesParticle SizeRhodobacter sphaeroidesSurface PropertiesElectron Transport Complex IIILipid BilayersLiposomes

Identifiers

PMID27992230
PMCPMC5699462
OpenAlexW2566596850

What OpenQuestion holds

Textmetadata
LicenceTDM
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.