Evidence map›Paper›PMID 35012050›Full record

ArticlePolymers2021

Modeling of Mechanical Properties of Silica Fume-Based Green Concrete Using Machine Learning Techniques.

Afnan Nafees, Muhammad Nasir Amin, Kaffayatullah Khan, Kashif Nazir, Mujahid Ali, Muhammad Faisal Javed, Fahid Aslam, Muhammad Ali Musarat, Nikolai Ivanovich Vatin

Abstract read
In one paragraph

Article in Polymers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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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.

Afnan NafeesDepartment of Civil Engineering, COMSATS University Islamabad, Abbottabad Campus, Abbottabad 22060, Pakistan.
Muhammad Nasir AminDepartment of Civil and Environmental Engineering, College of Engineering, King Faisal University (KFU), Al-Hofuf P.O. Box 380, Al Ahsa 31982, Saudi Arabia.ORCID 0000-0001-6524-4389
Kaffayatullah KhanDepartment of Civil and Environmental Engineering, College of Engineering, King Faisal University (KFU), Al-Hofuf P.O. Box 380, Al Ahsa 31982, Saudi Arabia.ORCID 0000-0001-7994-4642
Kashif NazirDepartment of Civil Engineering, School of Engineering, Nazabayev University, Astana 010000, Kazakhstan.
Mujahid AliDepartment of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Malaysia.ORCID 0000-0003-4376-0459
Muhammad Faisal JavedDepartment of Civil Engineering, COMSATS University Islamabad, Abbottabad Campus, Abbottabad 22060, Pakistan.
Fahid AslamDepartment of Civil Engineering, College of Engineering in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia.ORCID 0000-0003-2863-3283
Muhammad Ali MusaratDepartment of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Malaysia.ORCID 0000-0003-0298-7796
Nikolai Ivanovich VatinPeter the Great St. Petersburg Polytechnic University, 195291 St. Petersburg, Russia.ORCID 0000-0002-1196-8004

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Silica fume (SF) is a frequently used mineral admixture in producing sustainable concrete in the construction sector. Incorporating SF as a partial substitution of cement in concrete has obvious advantages, including reduced CO

Indexed as

cross-validationgreen concreteindustrial wastemachine learningpredictive modelingsensitivity analysis

Identifiers

PMID35012050
PMCPMC8747322

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.