Article in Genes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 30% 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
1 citing paper in PubMed, 3 citations in OpenAlex.
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.
Arsalan Emami-KhoyiCentre for Ecological Genomics and Wildlife Conservation, Department of Zoology, University of Johannesburg, Auckland Park 2006, South Africa.ORCID 0000-0002-9525-4745
Rynhardt Le RouxCentre for Ecological Genomics and Wildlife Conservation, Department of Zoology, University of Johannesburg, Auckland Park 2006, South Africa.ORCID 0000-0002-3114-0968
Matthew G AdairCentre for Ecological Genomics and Wildlife Conservation, Department of Zoology, University of Johannesburg, Auckland Park 2006, South Africa.ORCID 0000-0003-1887-4235
Daniela M MonsantoCentre for Ecological Genomics and Wildlife Conservation, Department of Zoology, University of Johannesburg, Auckland Park 2006, South Africa.ORCID 0000-0003-4166-8368
Devon C MainCentre for Ecological Genomics and Wildlife Conservation, Department of Zoology, University of Johannesburg, Auckland Park 2006, South Africa.
Shilpa P ParbhuCentre for Ecological Genomics and Wildlife Conservation, Department of Zoology, University of Johannesburg, Auckland Park 2006, South Africa.ORCID 0000-0003-3880-1885
Claudia M SchnelleCentre for Ecological Genomics and Wildlife Conservation, Department of Zoology, University of Johannesburg, Auckland Park 2006, South Africa.
Carl D van der LingenBranch: Fisheries Management, Department of Environment, Forestry and Fisheries, Private Bag X2, Vlaeberg 8012, South Africa.
Bettine Jansen van VuurenCentre for Ecological Genomics and Wildlife Conservation, Department of Zoology, University of Johannesburg, Auckland Park 2006, South Africa.ORCID 0000-0002-5334-5358
Peter R TeskeCentre for Ecological Genomics and Wildlife Conservation, Department of Zoology, University of Johannesburg, Auckland Park 2006, South Africa.ORCID 0000-0002-2838-7804
University of Johannesburg · ZAUniversity of Cape Town · ZA
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
During austral winter, the southern and eastern coastlines of South Africa witness one of the largest animal migrations on the planet, the KwaZulu-Natal sardine run. Hundreds of millions of temperate sardines,
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.
Transcriptomic Diversity in the Livers of South African Sardines Participating in the Annual Sardine Run. · full record | OpenQuestion