Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 20% 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
2 citing papers in PubMed, 6 citations in OpenAlex.
GhmiR156-International journal of molecular sciences · 2025
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 2 institutions in 1 country.
Yanbo ChenGuangdong Provincial Key Laboratory of Biotechnology for Plant Development, School of Life Sciences, South China Normal University, Guangzhou 510631, China.
Bingbing LiaoGuangdong Provincial Key Laboratory of Biotechnology for Plant Development, School of Life Sciences, South China Normal University, Guangzhou 510631, China.
Xiaohui LinGuangdong Provincial Key Laboratory of Biotechnology for Plant Development, School of Life Sciences, South China Normal University, Guangzhou 510631, China.
Qishan LuoGuangdong Provincial Key Laboratory of Biotechnology for Plant Development, School of Life Sciences, South China Normal University, Guangzhou 510631, China.
Xuanyan HuangGuangdong Provincial Key Laboratory of Biotechnology for Plant Development, School of Life Sciences, South China Normal University, Guangzhou 510631, China.
Xiaojing WangGuangdong Provincial Key Laboratory of Biotechnology for Plant Development, School of Life Sciences, South China Normal University, Guangzhou 510631, China.
Qinli ShanFlower Research Institute, Yunnan Academy of Agricultural Sciences, National Engineering Research Center for Ornamental Horticulture, Kunming 650205, China.
Yaqin WangGuangdong Provincial Key Laboratory of Biotechnology for Plant Development, School of Life Sciences, South China Normal University, Guangzhou 510631, China.
South China Normal University · CNYunnan Academy of Agricultural Sciences · CN
Funding
Guangdong Basic and Applied Basic Research Foundation 2021A1515111227Laboratory of Lingnan Modern Agriculture Project NZ2021009Major Science and Technology Special Program of Yunnan Province 202102AE090052National Key R&D Program of China 2018YFD1000404Natural Science Foundation of Guangdong Province 2021A1515012479
6 · The paper itself
Abstract
MicroRNAs (miRNAs) are involved in regulating many aspects of plant growth and development at the post-transcriptional level. Gerbera (
Indexed as
AsteraceaeMicroRNAsAnthocyaninsGene Expression Regulation, PlantHigh-Throughput Nucleotide SequencingRNA, MessengerRNA, PlantSequence Analysis, RNAAnthocyaninsMicroRNAsRNA, MessengerRNA, PlantanthocyaninGerbera hybridamiRNApetal growth and development
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.
Integrative Analysis of miRNAs and Their Targets Involved in Ray Floret Growth in · full record | OpenQuestion