Evidence map›Paper›PMID 28744294›Full record

ArticleFrontiers in plant science2017

Transcriptome Profiling Using Single-Molecule Direct RNA Sequencing Approach for In-depth Understanding of Genes in Secondary Metabolism Pathways of

Qingshan Xu, Junyan Zhu, Shiqi Zhao, Yan Hou, Fangdong Li, Yuling Tai, Xiaochun Wan, ChaoLing Wei

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
11.3field-weighted citation impact, top 1% 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

42 citing papers in PubMed, 93 citations in OpenAlex.

  1. Article
  2. RNA Methylome Reveals the mGenomics, proteomics & bioinformatics · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Transcriptome Sequencing ofPlants (Basel, Switzerland) · 2023
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Characterization and complexity of transcriptome in Gymnocypris przewalskii using single-molecule long-read sequencing and RNA-seq.DNA research : an international journal for rapid publication of reports on genes and genomes · 2021
    Article
  14. QTL Mapping for Leaf Area of Tea Plants (Frontiers in plant science · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
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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 1 institution in 1 country.

Qingshan XuState Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural UniversityHefei, China.
Junyan ZhuState Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural UniversityHefei, China.
Shiqi ZhaoState Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural UniversityHefei, China.
Yan HouState Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural UniversityHefei, China.
Fangdong LiState Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural UniversityHefei, China.
Yuling TaiState Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural UniversityHefei, China.
Xiaochun WanState Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural UniversityHefei, China.
ChaoLing WeiState Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural UniversityHefei, China.
Anhui Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characteristic secondary metabolites, including flavonoids, theanine and caffeine, are important components of

Indexed as

alternative splicingCamellia sinensischaracteristic secondary metabolitefull-length transcriptsingle-molecule sequencing

Identifiers

PMID28744294
PMCPMC5504172
OpenAlexW2735456122

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.