Evidence map›Paper›PMID 28149676›Full record

ArticlePeerJ2017

Genomic insight into pathogenicity of dematiaceous fungus

Hong Keat Looi, Yue Fen Toh, Su Mei Yew, Shiang Ling Na, Yung-Chie Tan, Pei-Sin Chong, Jia-Shiun Khoo, Wai-Yan Yee, Kee Peng Ng, Chee Sian Kuan

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

21 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Early-Stage Infection-SpecificInternational journal of molecular sciences · 2024
    Article
  4. Article
  5. Genomic and Metabolomic Analysis of the Endophytic FungusJournal of fungi (Basel, Switzerland) · 2023
    Article
  6. Article
  7. Case report: A case of ocular infection caused byFrontiers in cellular and infection microbiology · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Quantifying Airborne Dispersal Route ofFrontiers in microbiology · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

10 authors at 2 institutions in 1 country.

Hong Keat LooiDepartment of Medical Microbiology, University of Malaya , Kuala Lumpur , Malaysia.
Yue Fen TohDepartment of Medical Microbiology, University of Malaya , Kuala Lumpur , Malaysia.
Su Mei YewDepartment of Medical Microbiology, University of Malaya , Kuala Lumpur , Malaysia.
Shiang Ling NaDepartment of Medical Microbiology, University of Malaya , Kuala Lumpur , Malaysia.
Yung-Chie TanDepartment of Science and Technology, Codon Genomics SB , Seri Kembangan , Selangor , Malaysia.
Pei-Sin ChongDepartment of Science and Technology, Codon Genomics SB , Seri Kembangan , Selangor , Malaysia.
Jia-Shiun KhooDepartment of Science and Technology, Codon Genomics SB , Seri Kembangan , Selangor , Malaysia.
Wai-Yan YeeDepartment of Science and Technology, Codon Genomics SB , Seri Kembangan , Selangor , Malaysia.
Kee Peng NgDepartment of Medical Microbiology, University of Malaya , Kuala Lumpur , Malaysia.
Chee Sian KuanDepartment of Medical Microbiology, University of Malaya , Kuala Lumpur , Malaysia.
University Malaya Medical Centre · MYUniversity of Malaya · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AppressoriaCAZymeCorynespora cassiicolaMelaninPathogenicityToxinVirulence factor

Identifiers

PMID28149676
PMCPMC5274520
OpenAlexW2581917805

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.