Evidence map›Paper›PMID 34082832›Full record

ArticleBMC research notes2021

Modified formulas for calculation of encephalization: quotient in dogs.

Saganuwan Alhaji Saganuwan

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

1 author at 1 institution in 1 country.

Saganuwan Alhaji SaganuwanDepartment of Veterinary Pharmacology and Toxicology, College of Veterinary Medicine, Federal University of Agriculture, Benue State, P.M.B. 2373, Makurdi, Nigeria. pharn_saga2006@yahoo.com.ORCID http://orcid.org/0000-0002-0963-5569
Federal University of Agriculture · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDogs are a breed of animals that play important roles in security service, companionship, hunting, guard, work and models of research for application in humans. Intelligence is the key factor to success in life, most especially for dogs that are used for security purposes at the airports, seaports, public places, houses, schools and farms. However, it has been reported that there is correlation between intelligence, body weight, height and craniometry in human. In view of this, literatures were searched on body weight, height and body surface areas of ten dogs with intent to determining their comparative level of intelligence using encephalization quotient.

resultsFindings revealed that dogs have relationship of brain allometry with human as proven by encephalization quotient [Formula: see text] and Brain Mass (E)  =  kpβ, where p is the body weight; k  =  0.14 and β = 0.528, respectively. Saganuwa's formula yielded better results as compared with the other formulas. Dogs with body surface area (BSA), weight and height similar to that of human are the most intelligent. Doberman pinscher is the most intelligent followed by German shepherd, Labrador retriever, Golden retriever, respectively.

Indexed as

BrainBreedingAnimalsBody WeightDogsAllometryEncephalization quotientGerman shepherdIntelligence

Identifiers

PMID34082832
PMCPMC8176606
OpenAlexW3165555111

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.