Evidence map›Paper›PMID 32120984›Full record

ArticleNanomaterials (Basel, Switzerland)2020

Commitment of Autologous Human Multipotent Stem Cells on Biomimetic Poly-L-lactic Acid-Based Scaffolds Is Strongly Influenced by Structure and Concentration of Carbon Nanomaterial.

Marika Tonellato, Monica Piccione, Matteo Gasparotto, Pietro Bellet, Lucia Tibaudo, Nicola Vicentini, Elisabetta Bergantino, Enzo Menna, Libero Vitiello, Rosa Di Liddo and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-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

12 citing papers in PubMed, 17 citations in OpenAlex.

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  11. Graphene-Based Scaffolds for Regenerative Medicine.Nanomaterials (Basel, Switzerland) · 2021
    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

11 authors at 1 institution in 1 country.

Marika TonellatoDepartment of Biology, University of Padua, 35131 Padua, Italy.
Monica PiccioneDepartment of Pharmaceutical and Pharmacological Sciences, University of Padua, 35131 Padua, Italy.
Matteo GasparottoDepartment of Biology, University of Padua, 35131 Padua, Italy.
Pietro BelletDepartment of Biology, University of Padua, 35131 Padua, Italy.
Lucia TibaudoDepartment of Biology, University of Padua, 35131 Padua, Italy.
Nicola VicentiniDepartment of Chemical Sciences, University of Padua, 35131 Padua, Italy.
Elisabetta BergantinoDepartment of Biology, University of Padua, 35131 Padua, Italy.
Enzo MennaDepartment of Chemical Sciences, University of Padua, 35131 Padua, Italy.
Libero VitielloDepartment of Biology, University of Padua, 35131 Padua, Italy.
Rosa Di LiddoDepartment of Pharmaceutical and Pharmacological Sciences, University of Padua, 35131 Padua, Italy.
Francesco FilippiniDepartment of Biology, University of Padua, 35131 Padua, Italy.
University of Padua · IT

Funding

Università degli Studi di Padova CPDA151948
6 · The paper itself

Abstract

Nanocomposite scaffolds combining carbon nanomaterials (CNMs) with a biocompatible matrix are able to favor the neuronal differentiation and growth of a number of cell types, because they mimic neural-tissue nanotopography and/or conductivity. We performed comparative analysis of biomimetic scaffolds with poly-L-lactic acid (PLLA) matrix and three different

Indexed as

biomimetic nanomaterialscarbon nanohornscarbon nanostructurescarbon nanotubesgraphenehuman circulating multipotent cellsMYOD1myogenic commitmentPLLA-based scaffolds

Identifiers

PMID32120984
PMCPMC7152835
OpenAlexW3007203970

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.