Article in Pathogens (Basel, Switzerland), 2024. 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
–field-weighted citation impact
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.
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
12 authors.
László ÓzsváriDepartment of Veterinary Forensics and Economics, University of Veterinary Medicine Budapest, István u. 2, 1078 Budapest, Hungary.ORCID 0000-0002-5568-7319
Krisztina BárdosDepartment of Veterinary Forensics and Economics, University of Veterinary Medicine Budapest, István u. 2, 1078 Budapest, Hungary.ORCID 0009-0006-1571-8973
Agata Moroz-FikDivision of Veterinary Epidemiology and Economics, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Nowoursynowska 159c, 02-776 Warsaw, Poland.
Kinga BiernackaDivision of Veterinary Epidemiology and Economics, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Nowoursynowska 159c, 02-776 Warsaw, Poland.ORCID 0000-0002-0435-6384
Marcin MickiewiczDivision of Veterinary Epidemiology and Economics, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Nowoursynowska 159c, 02-776 Warsaw, Poland.ORCID 0000-0001-9747-6803
Zofia NowekDivision of Veterinary Epidemiology and Economics, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Nowoursynowska 159c, 02-776 Warsaw, Poland.ORCID 0000-0002-1125-9881
Carlos Eduardo AbrilInstitute of Virology and Immunology, Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Laenggass-Str. 122, CH-3012 Bern, Switzerland.
Giuseppe BertoniInstitute of Virology and Immunology, Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Laenggass-Str. 122, CH-3012 Bern, Switzerland.ORCID 0000-0002-1469-4723
Snorre StuenDepartment of Production Animal Clinical Sciences, Norwegian University of Life Sciences, Svebastadveien 112, N-4325 Sandnes, Norway.
Saulius PetkevičiusDepartment of Veterinary Pathobiology, Veterinary Academy, Lithuanian University of Health Sciences, Tilzes Str. 18, LT-47181 Kaunas, Lithuania.
Jarosław KabaDivision of Veterinary Epidemiology and Economics, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Nowoursynowska 159c, 02-776 Warsaw, Poland.ORCID 0000-0002-7977-9875
Michał CzopowiczDivision of Veterinary Epidemiology and Economics, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Nowoursynowska 159c, 02-776 Warsaw, Poland.ORCID 0000-0002-4238-8360
Funding
European Union's Horizon 2020 research and innovation programme (International Coordination of Research on Infectious Animal Diseases, ICRAD) 862605Ministry of Agriculture of Hungary AKGF/100/2022; AGMF/93/2023National Centre for Research and Development ICRAD/I/CAE-RAPID/02/2021
6 · The paper itself
Abstract
In 2023, a molecular study was conducted on the Hungarian goat population to determine genotypes and subtypes of small ruminant lentiviruses (SRLV) infecting these herds. Ten goat herds seropositive for SRLV infection according to a serosurvey conducted earlier in Hungary were selected, and 135 adult goats (>1 year old) were blood sampled. The two-stage nested real-time PCR (nRT-PCR) was used to detect proviral DNA of SRLV and distinguish between two main viral genotypes (A and B). PCR products were submitted for Sanger dideoxy sequencing, and phylogenetic and molecular evolutionary analyses were conducted on the 200-250 bp-long proviral DNA sequences from the end of long terminal repeat (LTR) region and beginning of
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.
First Molecular Characterization of Small Ruminant Lentiviruses in Hungarian Goat Population. · full record | OpenQuestion