Evidence map›Paper›PMID 28413617›Full record

ArticleF1000Research2017

Automated Wormscan.

Timothy Puckering, Jake Thompson, Sushruth Sathyamurthy, Sinduja Sukumar, Tirosh Shapira, Paul Ebert

Open access · goldAbstract read
In one paragraph

Article in F1000Research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Automation ofComputational and structural biotechnology journal · 2023
    Article
  3. Analysis of aComputational and structural biotechnology journal · 2023
    Article
  4. Essential Oils as Novel Anthelmintic Drug Candidates.Molecules (Basel, Switzerland) · 2022
    Review
  5. Article
  6. Image recognition based on deep learning inComputational and structural biotechnology journal · 2022
    Article
  7. Towards Lifespan Automation forSensors (Basel, Switzerland) · 2021
    Article
  8. Phenotypic Screening inPharmaceuticals (Basel, Switzerland) · 2020
    Review
  9. Article
  10. Translational medicine of aging · 2020
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Automated Wormscan.F1000Research · 2017
    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

6 authors at 2 institutions in 2 countries.

Timothy PuckeringSchool of Biological Sciences, University of Queensland, St Lucia, QLD, 4072, Australia.ORCID https://orcid.org/0000-0002-6285-930X
Jake ThompsonSchool of Biological Sciences, University of Queensland, St Lucia, QLD, 4072, Australia.
Sushruth SathyamurthySchool of Biological Sciences, University of Queensland, St Lucia, QLD, 4072, Australia.
Sinduja SukumarSchool of Biological Sciences, University of Queensland, St Lucia, QLD, 4072, Australia.
Tirosh ShapiraSchool of Biological Sciences, University of Queensland, St Lucia, QLD, 4072, Australia.
Paul EbertSchool of Biological Sciences, University of Queensland, St Lucia, QLD, 4072, Australia.ORCID https://orcid.org/0000-0002-4435-0737
University of Nottingham · GBThe University of Queensland · AU

Funding

Enhancing and expanding the CGC Strain CollectionP40OD010440 · OD · UNIVERSITY OF MINNESOTA · PI Ann E. Rougvie · 2012 to 2026
$7.5M
NIH HHS P40 OD010440
6 · The paper itself

Abstract

There has been a recent surge of interest in computer-aided rapid data acquisition to increase the potential throughput and reduce the labour costs of large scale

Indexed as

Caenorhabditis elegansphosphinesoftwaretoxicologyWormScan

Identifiers

PMID28413617
PMCPMC5365223
OpenAlexW4237095035

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.