Evidence map›Paper›PMID 29962395›Full record

ArticleThe Journal of veterinary medical science2018

Seasonal variation in the number of deaths in Pteropus lylei at Wat Pho Bang Khla temple, Thailand.

Yupadee Hengjan, Nikom Sae-Koo, Thanmaporn Phichitrasilp, Yasushige Ohmori, Hatsuki Fujinami, Eiichi Hondo

Open access · diamondAbstract read
In one paragraph

Article in The Journal of veterinary medical science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 96% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 2 countries.

Yupadee HengjanLaboratory of Animal Morphology, Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya, Aichi 464-8601, Japan.
Nikom Sae-KooWat Pho Bang Khla temple, Chachoengsao 24110, Thailand.
Thanmaporn PhichitrasilpDepartment of Veterinary Technology, Faculty of Veterinary Technology, Kasetsart University, Bangkok 10900, Thailand.
Yasushige OhmoriLaboratory of Animal Morphology, Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya, Aichi 464-8601, Japan.
Hatsuki FujinamiInstitute for Space-Earth Environmental Research (ISEE), Nagoya University, Nagoya, Aichi 464-8601, Japan.
Eiichi HondoLaboratory of Animal Morphology, Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya, Aichi 464-8601, Japan.
Nagoya University · JPKasetsart University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flying foxes have been widely studied as they are well-known reservoirs of infectious agents. Understanding their population dynamics might help to explain seasonal patterns of disease prevalence, and contribute towards the conservation of flying fox populations. Therefore, this study explored the annual variation in the number of deaths in P. lylei. The study was conducted from 2015-2017, at a Buddhist temple in Thailand, which is the roosting site of P. lylei. The average total number of bat deaths in a month significantly varied between times of a year. A peak was observed during March and May, which ranged in the period of birthing and lactating. There were no significant differences in the average total number of bat deaths in a month between sexes or age classes across times of a years.

Indexed as

SeasonsAnimalsChiropteraFemaleLactationMalePopulation DynamicsThailandbirthing periodlactation periodpopulation dynamicPteropus lylei

Identifiers

PMID29962395
PMCPMC6115271
OpenAlexW2809789790

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.