Evidence map›Paper›PMID 31881686›Full record

ArticleSensors (Basel, Switzerland)2019

In Situ Growth of CuWO

Zaheer Abbas, Razium Ali Soomro, Nazar Hussain Kalwar, Mawada Tunesi, Magnus Willander, Selcan Karakuş, Ayben Kilislioğlu

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
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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

7 authors at 4 institutions in 4 countries.

Zaheer AbbasBeijing Advanced Innovation Centre for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
Razium Ali SoomroBeijing Advanced Innovation Centre for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China.ORCID 0000-0002-1875-8181
Nazar Hussain KalwarInstitute of Chemistry, Shah Abdul Latif University Khairpur, Khairpur 66020, Pakistan.ORCID 0000-0002-0323-5767
Mawada TunesiState Key Laboratory of Organic-Inorganic Composites, Beijing Key Laboratory of Electrochemical Process and Technology for Materials, Beijing University of Chemical Technology, Beijing 100029, China.
Magnus WillanderDepartment of Science and Technology, Campus Norrkoping, Linkoping University, SE-60174 Norrkoping, Sweden.
Selcan KarakuşDepartment of Chemistry, Faculty of Engineering, Istanbul University-Cerrahpaşa, Avcılar, Istanbul 34320, Turkey.
Ayben KilislioğluDepartment of Chemistry, Faculty of Engineering, Istanbul University-Cerrahpaşa, Avcılar, Istanbul 34320, Turkey.
Beijing University of Chemical Technology · CNIstanbul University-Cerrahpaşa · TRLinköping University · SEShah Abdul Latif University · PK

Funding

National Natural Science Foundation of China 51572011 and 51802012
6 · The paper itself

Abstract

Procalcitonin (PCT) protein has recently been identified as a clinical marker for bacterial infections based on its better sepsis sensitivity. Thus, an increased level of PCT could be linked with disease diagnosis and therapeutics. In this study, we describe the construction of the photoelectrochemical (PEC) PCT immunosensing platform based on it situ grown photo-active CuWO

Indexed as

Biosensing TechniquesElectrochemical TechniquesAnimalsBiomarkersCattleCopperGraphiteNanospheresProcalcitoninSerum Albumin, BovineTungstenBiomarkersCoppergraphene oxideGraphiteProcalcitoninSerum Albumin, BovineTungstenCuWO4 nanostructuresgraphene oxideimmunosensorprocalcitonin

Identifiers

PMID31881686
PMCPMC6983212
OpenAlexW2998689040

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.