Evidence map›Paper›PMID 37106807›Full record

ArticleBiology2023

Lunar Cycle, Climate, and Onset of Parturition in Domestic Dromedary Camels: Implications of Species-Specific Metabolic Economy and Social Ecology.

Carlos Iglesias Pastrana, Francisco Javier Navas González, Juan Vicente Delgado Bermejo, Elena Ciani

Open access · goldAbstract read
In one paragraph

Article in Biology, 2023. 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
0.5field-weighted citation impact, top 42% 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, 3 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

4 authors at 2 institutions in 2 countries.

Carlos Iglesias PastranaDepartment of Genetics, Faculty of Veterinary Sciences, University of Córdoba, 14014 Córdoba, Spain.ORCID 0000-0003-3765-1627
Francisco Javier Navas GonzálezDepartment of Genetics, Faculty of Veterinary Sciences, University of Córdoba, 14014 Córdoba, Spain.
Juan Vicente Delgado BermejoDepartment of Genetics, Faculty of Veterinary Sciences, University of Córdoba, 14014 Córdoba, Spain.ORCID 0000-0003-1657-8838
Elena CianiDepartment of Biosciences, Biotechnologies and Environment, University of Bari 'Aldo Moro', 70125 Bari, Italy.ORCID 0000-0001-5673-0975
University of Córdoba · ESUniversity of Bari Aldo Moro · IT

Funding

ARIMNET APCIN-2016-00011-00-00
6 · The paper itself

Abstract

Given energy costs for gestating and caring for male offspring are higher than those of female newborns, external environmental conditions might be regarded as likely to affect the timing of delivery processes differentially depending on the sex of the newborn calf to be delivered. The aim of the present paper is to evaluate the association between environmental stressors such as the moon phase and weather-related factors and the onset of labor in female dromedaries. A binary logistic regression model was developed to find the most parsimonious set of variables that are most effective in predicting the probability for a gravid female dromedary to give birth to a male or a female calf, assuming that higher gestational costs and longer labor times are ascribed to the production of a male offspring. Although the differences in the quantitative distribution of spontaneous onset of labor across lunar phases and the mean climate per onset event along the whole study period were deemed nonsignificant (

Indexed as

epigenetic controlheterothermialabor onsetlunar phaseoffspring sexsocial communicationweather factors

Identifiers

PMID37106807
PMCPMC10136027
OpenAlexW4366088475

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.