Evidence map›Paper›PMID 37025773›Full record

ArticleHeliyon2023

Box dimension of the border of Kingdom of Saudi Arabia.

Mohammad Sajid, Akhlaq Husain, Jaideep Reddy, Mohammad T Alresheedi, Sulaiman A Al Yahya, Ahmed Al-Rajy

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. 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
6.2field-weighted citation impact, top 4% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

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

6 authors at 2 institutions in 2 countries.

Mohammad SajidDepartment of Mechanical Engineering, College of Engineering, Qassim University, Buraydah, 51452, Saudi Arabia.
Akhlaq HusainDepartment of Applied Sciences, BML Munjal University, Gurgaon, 122413, Haryana, India.
Jaideep ReddySchool of Engineering & Technology, BML Munjal University, Gurgaon, 122413, Haryana, India.
Mohammad T AlresheediDepartment of Civil Engineering, College of Engineering, Qassim University, Buraydah, 51452, Saudi Arabia.
Sulaiman A Al YahyaDepartment of Mechanical Engineering, College of Engineering, Qassim University, Buraydah, 51452, Saudi Arabia.
Ahmed Al-RajyDepartment of Civil Engineering, College of Engineering, Qassim University, Buraydah, 51452, Saudi Arabia.
Qassim University · SABML Munjal University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fractal dimension unlike topological dimension is (usually) a non-integer number which measures complexity, roughness, or irregularity of an object with respect to the space in which the set lies. It is used to characterize highly irregular objects in nature containing statistical self-similarity such as mountains, snowflakes, clouds, coastlines, borders etc. In this article, box dimension (a version of fractal dimension) of the border of Kingdom of Saudi Arabia (KSA) is computed using a multicore parallel processing algorithm based on the classical box-counting method. A power law relation is obtained from numerical simulations which relates the length of the border with the scale size and provides a very close estimate of the actual length of the KSA border within the scaling regions and scaling effects on the length of KSA border are considered. The algorithm presented in the article is shown to be highly scalable and efficient and the speedup of the algorithm is computed using Amdahl's and Gustafson's laws. For simulations, a high performance parallel computer is employed using Python codes and QGIS software.

Indexed as

BorderBox-counting methodBox dimensionFractal dimensionMulticore processing

Identifiers

PMID37025773
PMCPMC10070908
OpenAlexW4360604399

What OpenQuestion holds

Textmetadata
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.