Evidence map›Paper›PMID 35806698›Full record

ArticleMaterials (Basel, Switzerland)2022

Computational AI Models for Investigating the Radiation Shielding Potential of High-Density Concrete.

Muhammad Nasir Amin, Izaz Ahmad, Mudassir Iqbal, Asim Abbas, Kaffayatullah Khan, Muhammad Iftikhar Faraz, Anas Abdulalim Alabdullah, Shahid Ullah

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. New Advances in Cement and Concrete Research.Materials (Basel, Switzerland) · 2023
    Article
  4. Article
  5. Article
  6. 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

8 authors.

Muhammad Nasir AminDepartment of Civil and Environmental Engineering, College of Engineering, King Faisal University, Al-Ahsa 31982, Saudi Arabia.ORCID 0000-0001-6524-4389
Izaz AhmadDepartment of Civil Engineering, University of Engineering and Technology Peshawar, Peshawar 25120, Pakistan.
Mudassir IqbalDepartment of Civil Engineering, University of Engineering and Technology Peshawar, Peshawar 25120, Pakistan.ORCID 0000-0002-4317-3978
Asim AbbasDepartment of Civil Engineering, University of Engineering and Technology Peshawar, Peshawar 25120, Pakistan.ORCID 0000-0003-0854-1381
Kaffayatullah KhanDepartment of Civil and Environmental Engineering, College of Engineering, King Faisal University, Al-Ahsa 31982, Saudi Arabia.ORCID 0000-0001-7994-4642
Muhammad Iftikhar FarazDepartment of Mechanical Engineering, College of Engineering, King Faisal University, Al-Ahsa 31982, Saudi Arabia.
Anas Abdulalim AlabdullahDepartment of Civil and Environmental Engineering, College of Engineering, King Faisal University, Al-Ahsa 31982, Saudi Arabia.ORCID 0000-0002-0609-068X
Shahid UllahDepartment of Civil Engineering, University of Engineering and Technology Peshawar, Peshawar 25120, Pakistan.ORCID 0000-0002-4310-2571

Funding

King Faisal University This work was supported by the Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia [Project No. GRANT660].
6 · The paper itself

Abstract

Concrete is an economical and efficient material for attenuating radiation. The potential of concrete in attenuating radiation is attributed to its density, which in turn depends on the mix design of concrete. This paper presents the findings of a study conducted to evaluate the radiation attenuation with varying water-cement ratio (

Indexed as

artificial neural networkcompressive strengthconcretegene expression programmingradiation shieldingwater-cement ratio

Identifiers

PMID35806698
PMCPMC9267220

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.