In one paragraphArticle in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
9 authors.
Yamini Sri SekarIndian Council of Agriculture Research (ICAR)-National Institute of Veterinary Epidemiology & Disease Informatics (NIVEDI), Bengaluru 560119, Karnataka, India.
Kuralayanapalya Puttahonnappa SureshIndian Council of Agriculture Research (ICAR)-National Institute of Veterinary Epidemiology & Disease Informatics (NIVEDI), Bengaluru 560119, Karnataka, India.
Shivasharanappa NayakvadiIndian Council of Agriculture Research (ICAR)-National Institute of Veterinary Epidemiology & Disease Informatics (NIVEDI), Bengaluru 560119, Karnataka, India.ORCID 0000-0003-3311-5886 Bramhadev PattnaikInstitute of Veterinary Science and Animal Husbandry (IVSAH), Siksha O Anusandhan (SOA) University, Bhubaneswar 751029, OdishaIndia, India.ORCID 0000-0003-0869-7722 Azhahianambi PalavesamTranslational Research Platform for Veterinary Biologicals Centre for Animal Health Studies, Tamil Nadu Veterinary and Animal Sciences University, Chennai 600051, Tamil Nadu, India.ORCID 0000-0002-7108-6767 Nagendra Nath BarmanDepartment of Veterinary Microbiology, College of Veterinary Science, Assam Agricultural University, Guwahati 785013, Assam, India.ORCID 0000-0001-9747-3426 Hariprasad ThippeswamyIndian Council of Agriculture Research (ICAR)-National Institute of Veterinary Epidemiology & Disease Informatics (NIVEDI), Bengaluru 560119, Karnataka, India.
Varsha RameshIndian Council of Agriculture Research (ICAR)-National Institute of Veterinary Epidemiology & Disease Informatics (NIVEDI), Bengaluru 560119, Karnataka, India.
Sharanagouda Shiddanagouda PatilIndian Council of Agriculture Research (ICAR)-National Institute of Veterinary Epidemiology & Disease Informatics (NIVEDI), Bengaluru 560119, Karnataka, India.
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
Bovine mastitis caused by
Indexed as
Escherichia coli InfectionsGene Expression ProfilingLactationMastitis, BovineTranscriptomeAnimalsCattleEscherichia coliFemaleGene Regulatory NetworksMicroRNAsProtein Interaction MapsMicroRNAsE. coli mastitisgene regulationmachine learningmiRNAWGCNA
Identifiers
PMID42653139
PMCPMC13513401
What OpenQuestion holds
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