Evidence map›Paper›PMID 35498848›Full record

ArticleRSC advances2020

Ru/g-C

Junya Cao, Fenggang Han, Liguo Wang, Xiaoyu Huang, Yan Cao, Peng He, Huanhuan Yang, Jiaqiang Chen, Huiquan Li

Abstract read
In one paragraph

Article in RSC advances, 2020. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Effect of Copper-Modification of g-CMolecules (Basel, Switzerland) · 2023
    Article
  3. Article
  4. 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

9 authors.

Junya CaoChina University of Mining & Technology Beijing 100083 P. R. China.
Fenggang HanChina University of Mining & Technology Beijing 100083 P. R. China.
Liguo WangCAS Key Laboratory of Green Process and Engineering, National Engineering Laboratory for Hydrometallurgical Clean Production Technology, Institute of Process Engineering, Chinese Academy of Sciences Beijing 100190 China lgwang@ipe.ac.cn hqli@ipe.ac.cn.ORCID https://orcid.org/0000-0002-8509-7950
Xiaoyu HuangChina University of Mining & Technology Beijing 100083 P. R. China.
Yan CaoCAS Key Laboratory of Green Process and Engineering, National Engineering Laboratory for Hydrometallurgical Clean Production Technology, Institute of Process Engineering, Chinese Academy of Sciences Beijing 100190 China lgwang@ipe.ac.cn hqli@ipe.ac.cn.
Peng HeCAS Key Laboratory of Green Process and Engineering, National Engineering Laboratory for Hydrometallurgical Clean Production Technology, Institute of Process Engineering, Chinese Academy of Sciences Beijing 100190 China lgwang@ipe.ac.cn hqli@ipe.ac.cn.
Huanhuan YangCAS Key Laboratory of Green Process and Engineering, National Engineering Laboratory for Hydrometallurgical Clean Production Technology, Institute of Process Engineering, Chinese Academy of Sciences Beijing 100190 China lgwang@ipe.ac.cn hqli@ipe.ac.cn.
Jiaqiang ChenCAS Key Laboratory of Green Process and Engineering, National Engineering Laboratory for Hydrometallurgical Clean Production Technology, Institute of Process Engineering, Chinese Academy of Sciences Beijing 100190 China lgwang@ipe.ac.cn hqli@ipe.ac.cn.
Huiquan LiCAS Key Laboratory of Green Process and Engineering, National Engineering Laboratory for Hydrometallurgical Clean Production Technology, Institute of Process Engineering, Chinese Academy of Sciences Beijing 100190 China lgwang@ipe.ac.cn hqli@ipe.ac.cn.ORCID https://orcid.org/0000-0002-3702-3164

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A series of Ru/g-C

Identifiers

PMID35498848
PMCPMC9052785

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.