Evidence map›Paper›PMID 29769549›Full record

ArticleScientific reports2018

Detection of chikungunya virus DNA using two-dimensional MoS

Chaitali Singhal, Manika Khanuja, Nahid Chaudhary, C S Pundir, Jagriti Narang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
12.2field-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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 123 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Advances in MoSBiosensors · 2025
    Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Two-dimensional material-based virus detection.Science China. Chemistry · 2022
    Review
  17. Review
  18. Nano-engineered tools in the diagnosis, therapeutics, prevention, and mitigation of SARS-CoV-2.Journal of controlled release : official journal of the Controlled Release Society · 2021
    Review
  19. Article
  20. Review
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

5 authors at 3 institutions in 1 country.

Chaitali SinghalAmity Institute of Nanotechnology, Amity University, Noida, UP, India.
Manika KhanujaCentre for Nanoscience and Nanotechnology, Jamia Millia Islamia, New Delhi, 110025, India. manikakhanuja@gmail.com.
Nahid ChaudharyCentre for Nanoscience and Nanotechnology, Jamia Millia Islamia, New Delhi, 110025, India.
C S PundirDepartment of Biochemistry, Maharishi Dayanand University, Rohtak, Haryana, India. pundircs@rediffmail.com.
Jagriti NarangAmity Institute of Nanotechnology, Amity University, Noida, UP, India. jags_biotech@yahoo.co.in.
Amity University · INJamia Millia Islamia · INMaharshi Dayanand University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Development of platforms for a reliable, rapid, sensitive and selective detection of chikungunya virus (CHIGV) is the need of the hour in developing countries. To the best of our knowledge, there are no reports available for the electrochemical detection of CHIGVDNA. Therefore, we aim at developing a biosensor based on molybdenum disulphide nanosheets (MoS

Indexed as

Biosensing TechniquesChikungunya FeverChikungunya virusDisulfidesDNA, ViralElectrochemical TechniquesElectrodesGoldHumansLimit of DetectionMolybdenumNanostructuresDisulfidesDNA, ViralGoldMolybdenummolybdenum disulfide

Identifiers

PMID29769549
PMCPMC5955964
OpenAlexW2805477253

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.