Evidence map›Paper›PMID 33800498›Full record

ArticleInternational journal of molecular sciences2021

Unusually Fast

Stefania Abbruzzetti, Alex J Barker, Irene Villar, Carmen Pérez-Rontomé, Stefano Bruno, Giulio Cerullo, Cristiano Viappiani, Manuel Becana

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 61% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

8 authors at 4 institutions in 2 countries.

Stefania AbbruzzettiDipartimento di Scienze Matematiche, Fisiche e Informatiche, Università di Parma, Parco Area delle Scienze 7/A, 43124 Parma, Italy.ORCID 0000-0001-7685-8554
Alex J BarkerCenter for Nano Science and Technology@PoliMi, Istituto Italiano di Tecnologia, via G. Pascoli 70/3, 20133 Milano, Italy.
Irene VillarDepartamento de Nutrición Vegetal, Estación Experimental de Aula Dei, Consejo Superior de Investigaciones Científicas (CSIC), Apartado 13034, 50080 Zaragoza, Spain.ORCID 0000-0003-4552-5655
Carmen Pérez-RontoméDepartamento de Nutrición Vegetal, Estación Experimental de Aula Dei, Consejo Superior de Investigaciones Científicas (CSIC), Apartado 13034, 50080 Zaragoza, Spain.ORCID 0000-0002-9772-3170
Stefano BrunoDipartimento di Scienze degli Alimenti e del Farmaco, Università di Parma, Parco Area delle Scienze 27/A, 43124 Parma, Italy.
Giulio CerulloIFN-CNR, Dipartimento di Fisica, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy.ORCID 0000-0002-9534-2702
Cristiano ViappianiDipartimento di Scienze Matematiche, Fisiche e Informatiche, Università di Parma, Parco Area delle Scienze 7/A, 43124 Parma, Italy.ORCID 0000-0001-7470-4770
Manuel BecanaDepartamento de Nutrición Vegetal, Estación Experimental de Aula Dei, Consejo Superior de Investigaciones Científicas (CSIC), Apartado 13034, 50080 Zaragoza, Spain.
Consejo Superior de Investigaciones Científicas · ESUniversity of Parma · ITItalian Institute of Technology · ITPolitecnico di Milano · IT

Funding

Agencia Estatal de Investigación AGL2017-85775-RGobierno de Aragón A09_17RPRIN 2017 Project 201795SBA3 - HARVEST
6 · The paper itself

Abstract

The recently identified nonsymbiotic hemoglobin gene

Indexed as

HemeHemoglobinsHistidineMedicago truncatulaPlant ProteinsProtein BindingHemeHemoglobinsHistidinePlant ProteinsCO rebinding kineticsiron/heme hexacoordinationMedicago truncatulaplant hemoglobinsultrafast spectroscopy

Identifiers

PMID33800498
PMCPMC7962945
OpenAlexW3134213105

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.