Evidence map›Paper›PMID 30909564›Full record

ArticleInsects2019

Losing the Arms Race: Greater Wax Moths Sense but Ignore Bee Alarm Pheromones.

Yuan Li, Xingchuan Jiang, Zhengwei Wang, Junjun Zhang, Katrina Klett, Shahid Mehmood, Yufeng Qu, Ken Tan

Open access · goldAbstract read
In one paragraph

Article in Insects, 2019. 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
1.0field-weighted citation impact, top 23% 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, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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 1 country.

Yuan LiCAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming 650000, China. liyuan@xtbg.ac.cn.
Xingchuan JiangCollege of Plant Protection, Anhui Agricultural University, Hefei 230036, China. jxc678@sina.cn.
Zhengwei WangCAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming 650000, China. wangzhengwei@xtbg.ac.cn.
Junjun ZhangCAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming 650000, China. zhangjunjun@xtbg.ac.cn.
Katrina KlettCAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming 650000, China. Katrina.klett@gmail.com.
Shahid MehmoodCAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming 650000, China. shahid@xtbg.ac.cn.
Yufeng QuCAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming 650000, China. qu_yu_feng@163.com.
Ken TanCAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming 650000, China. kentan@xtbg.ac.cn.
Chinese Academy of Sciences · CNXishuangbanna Tropical Botanical Garden · CNAnhui Agricultural University · CNUniversity of Chinese Academy of Sciences · CN

Funding

CAS "Light of West China" Program (Y6XB081K01)China National Research Fund (31770420)China National Research Fund (31772682)the Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, the CAS 135 program (No.2017XTBG-T01)
6 · The paper itself

Abstract

The greater wax moth,

Indexed as

alarm pheromoneselectroantennogramGalleria mellonellaoviposition site preferencesuitable habitat hypothesis

Identifiers

PMID30909564
PMCPMC6468870
OpenAlexW2924198654

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.