Evidence map›Paper›PMID 38249014›Full record

ArticleInsects2023

Eric L Siegel, Guang Xu, Andrew Y Li, Patrick Pearson, Sebastián D'hers, Noel Elman, Thomas N Mather, Stephen M Rich

Open access · goldAbstract read
In one paragraph

Article in Insects, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. 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

8 authors at 4 institutions in 2 countries.

Eric L SiegelLaboratory of Medical Zoology, Department of Microbiology, University of Massachusetts, Amherst, MA 01003, USA.ORCID 0000-0002-8226-811X
Guang XuLaboratory of Medical Zoology, Department of Microbiology, University of Massachusetts, Amherst, MA 01003, USA.ORCID 0000-0002-5240-9276
Andrew Y LiUnited States Department of Agriculture, Agricultural Research Service, Invasive Insect Biocontrol and Behavior Laboratory, Beltsville, MD 20704, USA.
Patrick PearsonLaboratory of Medical Zoology, Department of Microbiology, University of Massachusetts, Amherst, MA 01003, USA.
Sebastián D'hersComputational Mechanics Center, Instituto Tecnológico de Buenos Aires (ITBA), Ciudad Autónoma de Buenos Aires C1106ACD, Argentina.ORCID 0000-0002-4979-8813
Noel ElmanGearJump Technologies, Limited Liability Company, Brookline, MA 02446, USA.
Thomas N MatherCenter for Vector-Borne Disease, University of Rhode Island, Kingston, RI 02881, USA.
Stephen M RichLaboratory of Medical Zoology, Department of Microbiology, University of Massachusetts, Amherst, MA 01003, USA.ORCID 0000-0001-7175-6380
University of Massachusetts Amherst · USAgricultural Research Service · USInstituto Tecnológico de Buenos Aires (ITBA) · ARUniversity of Rhode Island · US

Funding

ACL HHS U01CK000661NCEZID CDC HHS U01 CK000661
6 · The paper itself

Abstract

Ticks are vectors of many human and animal zoonotic disease-causing agents causing significant global health and economic strain. Repellents and acaricides are integral to the human capacity for personal protection from tick bites. Nootkatone, a naturally occurring sesquiterpene found in the Alaskan cedar tree, grapefruit, and other sources, has been documented to be a potent acaricide. Research has also noted repellent effects against some tick species. In this study, our aim was to investigate the effect of synthetic, high-purity (+)-nootkatone on adult

Indexed as

acaricidenatural repellentnootkatoneticks

Identifiers

PMID38249014
PMCPMC10816182
OpenAlexW4390174686

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.