Evidence map›Paper›PMID 35382292›Full record

ArticleACS omega2022

Screening Perovskites from ABO

Jie Zhao, Xiaoyan Wang

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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

2 authors at 2 institutions in 1 country.

Jie ZhaoCollege of Chemical Engineering, Nanjing Tech University, Nanjing, Jiangsu 211816, People's Republic of China.ORCID https://orcid.org/0000-0002-7712-6635
Xiaoyan WangSchool of Information Engineering, Nanjing Audit University, Nanjing, Jiangsu 211815, People's Republic of China.ORCID https://orcid.org/0000-0003-1939-3839
Nanjing Audit University · CNNanjing Tech University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Perovskite oxides are attractive candidates for various scientific applications because of their outstanding structure flexibilities and attractive physical and chemical properties. However, labor-intensive and high-cost experimental and density functional theory calculation approaches are normally used to screen candidate perovskites. Herein, a machine learning method is employed to identify perovskites from ABO

Identifiers

PMID35382292
PMCPMC8973048
OpenAlexW4223589533

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.