Evidence map›Paper›PMID 32547921›Full record

ArticleInternational journal for parasitology. Parasites and wildlife2020

Small-mammal characteristics affect tick communities in southwestern Tennessee (USA).

R A Butler, R T Trout Fryxell, A E Houston, E K Bowers, D Paulsen, L B Coons, M L Kennedy

Abstract read
In one paragraph

Article in International journal for parasitology. Parasites and wildlife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

  1. Article
  2. Acquired tick resistance inInfection and immunity · 2025
    Article
  3. Article
  4. Article
  5. Ecological relationships ofParasitology · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Ecological correlates of ectoparasite load in a rodent: Complex roles of seasonality.International journal for parasitology. Parasites and wildlife · 2022
    Article
  12. 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

7 authors.

R A ButlerDepartment of Biological Sciences, The University of Memphis, Memphis, TN, USA.
R T Trout FryxellDepartment of Entomology and Plant Pathology, The University of Tennessee, Knoxville, TN, USA.
A E HoustonDepartment of Forestry, Wildlife and Fisheries, The University of Tennessee, Knoxville, TN, USA.
E K BowersDepartment of Biological Sciences, The University of Memphis, Memphis, TN, USA.
D PaulsenDepartment of Entomology and Plant Pathology, The University of Tennessee, Knoxville, TN, USA.
L B CoonsDepartment of Biological Sciences, The University of Memphis, Memphis, TN, USA.
M L KennedyDepartment of Biological Sciences, The University of Memphis, Memphis, TN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Life histories can influence the degree of parasite infestations on a host. Pressures exerted on hosts based on age and sex convey varying degrees of parasite prevalence due to differences in host lifestyles, but it is not known how interactions between different host traits affect tick numbers. The objective of this study was to determine if host characteristics (e.g., age, sex, weight, and their interactions) affect the mean number of ticks found on small mammals regardless of host species or habitat. Sherman live traps were placed in forest and grass/forb habitats representative of the southeastern United States. After capture, host characteristics were recorded, and hosts were then searched for ticks. A total of 281 small mammals (148

Indexed as

AgeInfestationLife-historyRodentsSexTicks

Identifiers

PMID32547921
PMCPMC7284121

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.