Evidence map›Paper›PMID 38667347›Full record

ArticleInsects2024

The Diversity of

Yuan Liu, Lina Zhang, Xiangyun Cai, Alexandre Rutikanga, Baoli Qiu, Youming Hou

Open access · goldAbstract read
In one paragraph

Article in Insects, 2024. 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
0.5field-weighted citation impact, top 33% 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 3 institutions in 2 countries.

Yuan LiuState Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Ministerial and Provincial Joint Innovation Centre for Safety Production of Cross-Strait Crops, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Lina ZhangState Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Ministerial and Provincial Joint Innovation Centre for Safety Production of Cross-Strait Crops, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Xiangyun CaiState Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Ministerial and Provincial Joint Innovation Centre for Safety Production of Cross-Strait Crops, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Alexandre RutikangaCollege of Agriculture and Animal Husbandry, University of Rwanda, Kigali 999051, Rwanda.
Baoli QiuGuangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China.ORCID 0000-0002-0094-5368
Youming HouState Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Ministerial and Provincial Joint Innovation Centre for Safety Production of Cross-Strait Crops, Fujian Agriculture and Forestry University, Fuzhou 350002, China.ORCID 0000-0001-7984-9688
Fujian Agriculture and Forestry University · CNChongqing Normal University · CNUniversity of Rwanda · RW

Funding

the Guangzhou Basic and Applied Basic Research Program, China 202102021290the National Key R & D Program of China 2022YFC2601400the National Key Research and Development Programme of China 2017YFC1200605the project of Guangdong Laboratory for Lingnan Modern Agriculture NT2021003the Science and Technology Major Project of Fujian 2017NZ0003-1-6
6 · The paper itself

Abstract

Bacterial symbionts associated with insects can be crucial in insect nutrition, metabolism, immune responses, development, and reproduction. However, the bacterial symbionts of the fall armyworm

Indexed as

16S rRNA high-throughput sequencingbacterial symbiontsfall armyworminfection rateswFru strain

Identifiers

PMID38667347
PMCPMC11050099
OpenAlexW4393158942

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.