Evidence map›Paper›PMID 29720995›Full record

ArticleFrontiers in plant science2018

Transcriptome-Wide Annotation of m

Jie Song, Jingjing Zhai, Enze Bian, Yujia Song, Jiantao Yu, Chuang Ma

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in plant science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
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

31 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Detection, molecular function and mechanisms of m5C in cancer.Clinical and translational medicine · 2025
    Review
  6. m5CStack: An integrated framework for m5C site prediction using multi-feature stacking.Computational and structural biotechnology journal · 2025
    Article
  7. Review
  8. Article
  9. Identification of mHeliyon · 2023
    Article
  10. XGBoost framework with feature selection for the prediction of RNA N5-methylcytosine sites.Molecular therapy : the journal of the American Society of Gene Therapy · 2023
    Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. The role of RNA mInternational journal of biological sciences · 2021
    Review
  20. Machine learning applications in RNA modification sites prediction.Computational and structural biotechnology journal · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Jie SongState Key Laboratory of Crop Stress Biology for Arid Areas, Center of Bioinformatics, College of Life Sciences, Northwest A&F University, Shaanxi, China.
Jingjing ZhaiState Key Laboratory of Crop Stress Biology for Arid Areas, Center of Bioinformatics, College of Life Sciences, Northwest A&F University, Shaanxi, China.
Enze BianCollege of Information Engineering, Northwest A&F University, Shaanxi, China.
Yujia SongCollege of Information Engineering, Northwest A&F University, Shaanxi, China.
Jiantao YuCollege of Information Engineering, Northwest A&F University, Shaanxi, China.
Chuang MaState Key Laboratory of Crop Stress Biology for Arid Areas, Center of Bioinformatics, College of Life Sciences, Northwest A&F University, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of epitranscriptome opened a new chapter in gene regulation. 5-methylcytosine (m

Indexed as

AUCEpitranscriptomemachine learningRNA 5-methylcytosineRNA modification

Identifiers

PMID29720995
PMCPMC5915569

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.