Evidence map›Paper›PMID 36982803›Full record

ArticleInternational journal of molecular sciences2023

Infection of

Gaojian Li, Tao Zhang, Bin Hu, Shuyi Han, Chen Xiang, Guohui Yuan, Hongxuan He

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. The effects of polysaccharides fromFrontiers in veterinary science · 2026
    Article
  2. Article
  3. Review
  4. 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 at 1 institution in 1 country.

Gaojian LiNational Research Center for Wildlife-Borne Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.ORCID 0000-0002-2433-0536
Tao ZhangNational Research Center for Wildlife-Borne Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
Bin HuNational Research Center for Wildlife-Borne Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
Shuyi HanNational Research Center for Wildlife-Borne Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
Chen XiangNational Research Center for Wildlife-Borne Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
Guohui YuanNational Research Center for Wildlife-Borne Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
Hongxuan HeNational Research Center for Wildlife-Borne Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
Chinese Academy of Sciences · CN

Funding

Major Program of National Natural Science Foundation of China No. 32090023National Key R&D Program of China 2022YFC2601602Science & Technology Fundamental Resources Investigation Program 2022FY100903The key program of Chinese Academy of Sciences (CAS) KJZD-SW-L11
6 · The paper itself

Abstract

Female mice can discriminate the urinary odors of male mice due to their olfactory acuity. Parasitic infection or subclinical infection can decrease the odor attractiveness of male mice and finally lead to aversion or avoidance responses in odor selection for female mice.

Indexed as

Trichinella spiralisTrichinellosisAnimalsFemaleMaleMiceMice, Inbred ICRPheromonesSemenSpermatozoaZoonosesPheromonesICR/CD-1 male micereproductive injurysperm qualityTrichinella spiralisurine pheromone content

Identifiers

PMID36982803
PMCPMC10058773
OpenAlexW4327699129

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.