Evidence map›Paper›PMID 30010717›Full record

ReviewBriefings in bioinformatics2019

The small peptide world in long noncoding RNAs.

Seo-Won Choi, Hyun-Woo Kim, Jin-Wu Nam

Open access · bronzeAbstract readReview
In one paragraph

Review in Briefings in bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 181 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
181citing papers in PubMed, 1 pooled it
7.2field-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

181 citing papers in PubMed, 1 synthesis or guideline pooled it, 285 citations in OpenAlex.

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  19. Mitochondrial Microproteins: Emerging Regulators in Neurodevelopment and Neurodegeneration.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
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121 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Seo-Won ChoiDepartment of Life Science, College of Natural Sciences, Hanyang University, Seoul 04763, Republic of Korea.
Hyun-Woo KimDepartment of Life Science, College of Natural Sciences, Hanyang University, Seoul 04763, Republic of Korea.
Jin-Wu NamDepartment of Life Science, College of Natural Sciences, Hanyang University, Seoul 04763, Republic of Korea.
Hanyang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long noncoding RNAs (lncRNAs) are a group of transcripts that are longer than 200 nucleotides (nt) without coding potential. Over the past decade, tens of thousands of novel lncRNAs have been annotated in animal and plant genomes because of advanced high-throughput RNA sequencing technologies and with the aid of coding transcript classifiers. Further, a considerable number of reports have revealed the existence of stable, functional small peptides (also known as micropeptides), translated from lncRNAs. In this review, we discuss the methods of lncRNA classification, the investigations regarding their coding potential and the functional significance of the peptides they encode.

Indexed as

Machine LearningOpen Reading FramesPeptidesRNA, Long NoncodingPeptidesRNA, Long Noncodingcoding-potential predictionlong noncoding RNA (lncRNA)small ORFsmall peptide

Identifiers

PMID30010717
PMCPMC6917221
OpenAlexW2883632755

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.