Article in Nanomaterials (Basel, Switzerland), 2023. 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
0.8field-weighted citation impact, top 32% 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.
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
12 authors at 2 institutions in 1 country.
Šarunas MeškinisInstitute of Materials Science, Kaunas University of Technology, K. Baršausko St. 59, LT-51423 Kaunas, Lithuania.ORCID 0000-0001-9622-7573
Rimantas GudaitisInstitute of Materials Science, Kaunas University of Technology, K. Baršausko St. 59, LT-51423 Kaunas, Lithuania.
Andrius VasiliauskasInstitute of Materials Science, Kaunas University of Technology, K. Baršausko St. 59, LT-51423 Kaunas, Lithuania.
Asta GuobienėInstitute of Materials Science, Kaunas University of Technology, K. Baršausko St. 59, LT-51423 Kaunas, Lithuania.ORCID 0000-0002-1421-0012
Šarūnas JankauskasInstitute of Materials Science, Kaunas University of Technology, K. Baršausko St. 59, LT-51423 Kaunas, Lithuania.ORCID 0000-0001-6347-5167
Voitech StankevičDepartment of Functional Materials and Electronics, Center for Physical Sciences and Technology, Saulėtekio Ave. 3, LT-10257 Vilnius, Lithuania.ORCID 0000-0002-6552-0862
Skirmantas KeršulisDepartment of Functional Materials and Electronics, Center for Physical Sciences and Technology, Saulėtekio Ave. 3, LT-10257 Vilnius, Lithuania.ORCID 0000-0002-1815-357X
Arūnas StirkėDepartment of Functional Materials and Electronics, Center for Physical Sciences and Technology, Saulėtekio Ave. 3, LT-10257 Vilnius, Lithuania.ORCID 0000-0002-8081-3487
Eivydas AndriukonisDepartment of Functional Materials and Electronics, Center for Physical Sciences and Technology, Saulėtekio Ave. 3, LT-10257 Vilnius, Lithuania.
Wanessa MeloDepartment of Functional Materials and Electronics, Center for Physical Sciences and Technology, Saulėtekio Ave. 3, LT-10257 Vilnius, Lithuania.
Vilius VertelisDepartment of Functional Materials and Electronics, Center for Physical Sciences and Technology, Saulėtekio Ave. 3, LT-10257 Vilnius, Lithuania.ORCID 0000-0001-5298-5217
Nerija ŽurauskienėDepartment of Functional Materials and Electronics, Center for Physical Sciences and Technology, Saulėtekio Ave. 3, LT-10257 Vilnius, Lithuania.ORCID 0000-0003-0912-4563
Center for Physical Sciences and Technology · LTKaunas University of Technology · LT
Funding
European Regional Development Fund 13.1.1-LMT-K-718-05-0015
6 · The paper itself
Abstract
Biosensors based on graphene field-effect transistors (G-FET) for detecting COVID-19 spike S protein and its receptor ACE2 were reported. The graphene, directly synthesized on SiO
Indexed as
charge neutrality pointCOVID-19direct synthesisfield-effect transistor-based biosensorgraphenePECVDreceptor ACE2SARS-CoV-2 spike proteinshift of Dirac voltage
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.
Biosensor Based on Graphene Directly Grown by MW-PECVD for Detection of COVID-19 Spike (S) Protein and Its Entry Receptor ACE2. · full record | OpenQuestion