Evidence map›Paper›PMID 35480834›Full record

ReviewRSC advances2021

Recent advances in the metal-organic framework-based electrocatalysts for the hydrogen evolution reaction in water splitting: a review.

Neelam Zaman, Tayyaba Noor, Naseem Iqbal

Open access · goldAbstract readReview
In one paragraph

Review in RSC advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 128 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Fabrication of MoSRSC advances · 2024
    Article
  5. Article
  6. A DFT Study of RutheniumNanomaterials (Basel, Switzerland) · 2023
    Article
  7. Review
  8. Article
  9. 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

3 authors at 1 institution in 1 country.

Neelam ZamanU.S.-Pakistan Centre for Advanced Studies in Energy (USPCAS-E), National University of Sciences and Technology (NUST) H-12 Campus Islamabad 44000 Pakistan naseem@uspcase.nust.edu.pk +92 51 9085 5281.
Tayyaba NoorSchool of Chemical and Materials Engineering (SCME), National University of Sciences and Technology (NUST) H-12 Campus Islamabad 44000 Pakistan.ORCID https://orcid.org/0000-0002-6689-6837
Naseem IqbalU.S.-Pakistan Centre for Advanced Studies in Energy (USPCAS-E), National University of Sciences and Technology (NUST) H-12 Campus Islamabad 44000 Pakistan naseem@uspcase.nust.edu.pk +92 51 9085 5281.ORCID https://orcid.org/0000-0001-6916-4765
University College of Islamabad · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water splitting is an important technology for alternative and sustainable energy storage, and a way for the production of hydrogen without generating pollution. In recent years, metal-organic frameworks (MOFs) have become the most capable multifunctional resources because of their high surface areas, tunable porosity, simple modification of compositions, and potential for use as precursors with a variety of morphological structures. Based on these qualities, many MOFs and their derived materials are utilized as electrocatalysts for the water splitting reaction. Herein, we assembled the relevant literature in recent years about MOF and MOF-derived materials for their eminent electrocatalytic activity in water splitting with useful strategies for the design and preparation of catalysts, along with challenges. This review summarizes the advancement in MOF materials, elucidating different strategies for its role in water splitting.

Identifiers

PMID35480834
PMCPMC9034227
OpenAlexW3175369632

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.