Evidence map›Paper›PMID 29535355›Full record

ArticleScientific reports2018

High-throughput fecundity measurements in Drosophila.

Pierre Nouhaud, François Mallard, Rodolphe Poupardin, Neda Barghi, Christian Schlötterer

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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 45 citations in OpenAlex.

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  8. A high-throughput method for quantifyingbioRxiv : the preprint server for biology · 2024
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  10. In Vivo Effects ofJournal of microbiology and biotechnology · 2023
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  16. QuantifyingBiology open · 2020
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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 2 institutions in 2 countries.

Pierre NouhaudInstitut für Populationsgenetik, Vetmeduni, Vienna, Austria.ORCID 0000-0003-4923-0993
François MallardInstitut für Populationsgenetik, Vetmeduni, Vienna, Austria.ORCID 0000-0003-2087-1914
Rodolphe PoupardinInstitut für Populationsgenetik, Vetmeduni, Vienna, Austria.
Neda BarghiInstitut für Populationsgenetik, Vetmeduni, Vienna, Austria.ORCID 0000-0003-3700-0971
Christian SchlöttererInstitut für Populationsgenetik, Vetmeduni, Vienna, Austria. christian.schloetterer@vetmeduni.ac.at.ORCID 0000-0003-4710-6526
IBM (France) · FRTU Wien · AT

Funding

European Research Council 294485
6 · The paper itself

Abstract

Fecundity is probably the most frequently studied fitness component in Drosophila. Nevertheless, currently used methods to measure fecundity are not well-suited for large-scale experiments, with many populations being assayed in parallel. Here we present a standardized pipeline to measure fecundity in many Drosophila population samples with substantially reduced hand on times. Using a high-contrast medium for egg laying, we developed a Java plug-in for ImageJ to quantify the number of eggs by image processing. We show that our method is fast and provides reliable egg counts.

Indexed as

AlgorithmsAnimalsDrosophila melanogasterFemaleFertilityImage Processing, Computer-AssistedOviposition

Identifiers

PMID29535355
PMCPMC5849729
OpenAlexW2793180393

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.