Evidence map›Paper›PMID 42438966›Full record

ArticleChemistry, an Asian journal2026

Crystallinity Engineering of Coal-Derived Ball-Milled Carbon for High-Performance MnO

Ananda Sholeh Rifky Hakim, Yuda Prima Hardianto, Arshad Hussain, Hsiharng Yang, Shaik Inayath Basha, Umme Sadia Jahan Sinthia, A J Saleh Ahammad, Atif Saeed Alzahrani, Md Abdul Aziz

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Chemistry, an Asian journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ananda Sholeh Rifky HakimMaterial Science and Engineering Department, King Fahd University of Petroleum & Minerals (KFUPM), Dhahran, Saudi Arabia.
Yuda Prima HardiantoPhysics Department, King Fahd University of Petroleum & Minerals (KFUPM), Dhahran, Saudi Arabia.
Arshad HussainInterdisciplinary Research Center for Hydrogen Technologies and Carbon Management (IRC-HTCM), King Fahd University of Petroleum & Minerals (KFUPM), Dhahran, Saudi Arabia.
Hsiharng YangGraduate Institute of Precision Engineering and Innovation and Development Center of Sustainable Agriculture (IDCSA), National Chung Hsing University, Taichung City, Taiwan.
Shaik Inayath BashaInterdisciplinary Research Center for Construction and Building Materials, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.
Umme Sadia Jahan SinthiaDepartment of Chemistry, Jagannath University, Dhaka, Bangladesh.
A J Saleh AhammadDepartment of Chemistry, Jagannath University, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0001-7568-5268
Atif Saeed AlzahraniInterdisciplinary Research Center for Sustainable Energy Systems (IRC-SES), King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia.ORCID https://orcid.org/0000-0003-1141-0323
Md Abdul AzizInterdisciplinary Research Center for Hydrogen Technologies and Carbon Management (IRC-HTCM), King Fahd University of Petroleum & Minerals (KFUPM), Dhahran, Saudi Arabia.

Funding

King Fahd University of Petroleum & Minerals INHT2508
6 · The paper itself

Abstract

Aqueous zinc-ion batteries (AZIBs) are attractive as a safe and affordable energy storage device, but enhancing the conductivity and ion transport in the electrodes is difficult. In this work, coal-derived ball-milled carbon (CBMC) with varying crystallinity was prepared as a conductive additive for MnO

Indexed as

aqueous zinc‐ion batteriescoal‐derived carbonDFT analysiselectrode conductivityMnO2 cathodes

Identifiers

PMID42438966
PMCPMC13358712

What OpenQuestion holds

Textmetadata
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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.