Evidence map›Paper›PMID 34072677›Full record

ArticleInsects2021

Community Structure, Biodiversity and Spatiotemporal Distribution of the Black Flies (Diptera: Simuliidae) Using Malaise Traps on the Highest Mountain in Thailand.

Wichai Srisuka, Chayanit Sulin, Kittipat Aupalee, Thapanat Phankaen, Kritsana Taai, Sorawat Thongsahuan, Atiporn Saeung, Hiroyuki Takaoka

Open access · goldAbstract read
In one paragraph

Article in Insects, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.1field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 22 citations in OpenAlex.

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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

8 authors at 4 institutions in 2 countries.

Wichai SrisukaEntomology Section, Queen Sirikit Botanic Garden, Chiang Mai 50180, Thailand.ORCID 0000-0002-1868-0601
Chayanit SulinEntomology Section, Queen Sirikit Botanic Garden, Chiang Mai 50180, Thailand.
Kittipat AupaleeCenter of Insect Vector Study, Department of Parasitology, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.
Thapanat PhankaenVector Borne Disease Control Center 1.3, Chiang Rai 57000, Thailand.
Kritsana TaaiFaculty of Veterinary Medicine, Western University, Kanchanaburi 71170, Thailand.
Sorawat ThongsahuanFaculty of Veterinary Science, Prince of Songkla University, Songkhla 90110, Thailand.ORCID 0000-0003-3744-8450
Atiporn SaeungCenter of Insect Vector Study, Department of Parasitology, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0000-0003-3550-5992
Hiroyuki TakaokaHigher Institution Centre of Excellence (HICoE), Tropical Infectious Diseases Research and Education Centre (TIDREC), Universiti Malaya, Kuala Lumpur 50603, Malaysia.
Chiang Mai University · THKanchanaburi Rajabhat University · THPrince of Songkla University · THUniversity of Malaya · MY

Funding

Chiang Mai University The Ministry of Education, Malaysia
6 · The paper itself

Abstract

Black flies form a group of small blood-sucking insects of medical and veterinary importance. This study aimed to investigate the community structure, biodiversity and spatial and temporal distribution of adult black flies in tropical rain forests, by using malaise traps in Doi Inthanon National Park, northern Thailand. Malaise traps were placed along six elevational gradients (400 m to 2500 m, above sea level) at Doi Inthanon National Park, Chiang Mai province, from December 2013 to November 2014. A total of 9406 adult female black flies belonging to five subgenera-

Indexed as

biodiversityblack fliesmalaise trapSimuliidaeSimuliumtropical forests

Identifiers

PMID34072677
PMCPMC8229545
OpenAlexW3165506570

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.