Evidence map›Paper›PMID 33888904›Full record

ArticleNature materials2021

Electronic properties of the bulk and surface states of Fe

Yangmu Li, Nader Zaki, Vasile O Garlea, Andrei T Savici, David Fobes, Zhijun Xu, Fernando Camino, Cedomir Petrovic, Genda Gu, Peter D Johnson and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature materials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. Magnetic molecular orbitals in MnSi.Science advances · 2023
    Article
  7. 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

12 authors.

Yangmu LiCondensed Matter Physics and Materials Science Division, Brookhaven National Laboratory, Upton, NY, USA.ORCID http://orcid.org/0000-0003-0886-2919
Nader ZakiCondensed Matter Physics and Materials Science Division, Brookhaven National Laboratory, Upton, NY, USA.
Vasile O GarleaNeutron Scattering Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Andrei T SaviciNeutron Scattering Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.ORCID http://orcid.org/0000-0001-5127-8967
David FobesCondensed Matter Physics and Materials Science Division, Brookhaven National Laboratory, Upton, NY, USA.ORCID http://orcid.org/0000-0001-8252-2061
Zhijun XuCondensed Matter Physics and Materials Science Division, Brookhaven National Laboratory, Upton, NY, USA.
Fernando CaminoCenter for Functional Nanomaterials, Brookhaven National Laboratory, Upton, NY, USA.
Cedomir PetrovicCondensed Matter Physics and Materials Science Division, Brookhaven National Laboratory, Upton, NY, USA.ORCID http://orcid.org/0000-0001-6063-1881
Genda GuCondensed Matter Physics and Materials Science Division, Brookhaven National Laboratory, Upton, NY, USA.
Peter D JohnsonCondensed Matter Physics and Materials Science Division, Brookhaven National Laboratory, Upton, NY, USA.
John M TranquadaCondensed Matter Physics and Materials Science Division, Brookhaven National Laboratory, Upton, NY, USA.ORCID http://orcid.org/0000-0003-4984-8857
Igor A ZaliznyakCondensed Matter Physics and Materials Science Division, Brookhaven National Laboratory, Upton, NY, USA. zaliznyak@bnl.gov.ORCID http://orcid.org/0000-0002-8548-7924

Funding

U.S. Department of Energy (DOE) DE-SC0012704
6 · The paper itself

Abstract

The idea of employing non-Abelian statistics for error-free quantum computing ignited interest in reports of topological surface superconductivity and Majorana zero modes (MZMs) in FeTe

Identifiers

What OpenQuestion holds

Textmetadata
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.