Scientometric evaluation of 100-year history of Poultry Science (1921–2020)

Vaziri, Esmaeil; Maghsoudi, Ali; Feizabadi, Mansoureh; Faraji-Arough, Hadi; Rokouei, Mohammad

doi:10.1016/j.psj.2022.102134

Cited by 7 publications

(3 citation statements)

References 53 publications

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“…An investigation on the Web of Science platform by using the search terms [‘scientometrics’ AND (‘veterinary’ OR ‘animal’)] revealed only 17 published papers by the end of 2023. Among these, Gupta et al [ 6 ] studied the international research output on camels (3089 articles from 2003 to 2012), Gonzalez and Salgado-Arroyo [ 7 ] studied the research output related to veterinary work in Colombia (3000 articles from 2010 to 2019), Vaziri et al [ 8 ] discussed the papers dealing with poultry during the 100 years up to 2022 (22,451 articles), Lianou and Fthenakis [ 9 ] analyzed papers on sheep and goats from Greece (1080 articles up to 2022), and Ding et al [ 10 ] performed a scientometrics study of meta-analysis in the agricultural sciences (2226 articles from 1992 to 2021).…”

Section: Introductionmentioning

confidence: 99%

Scientometrics Evaluation of Published Scientific Papers on the Use of Proteomics Technologies in Mastitis Research in Ruminants

Bourganou,

Chatzopoulos,

Lianou

et al. 2024

Pathogens

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The objective of this study was the presentation of quantitative characteristics regarding the scientific content and bibliometric details of the relevant publications. In total, 156 papers were considered. Most papers presented original studies (n = 135), and fewer were reviews (n = 21). Most original articles (n = 101) referred to work involving cattle. Most original articles described work related to the diagnosis (n = 72) or pathogenesis (n = 62) of mastitis. Most original articles included field work (n = 75), whilst fewer included experimental (n = 31) or laboratory (n = 30) work. The tissue assessed most frequently in the studies was milk (n = 59). Milk was assessed more frequently in studies on the diagnosis (61.1% of relevant studies) or pathogenesis (30.6%) of the infection, but mammary tissue was assessed more frequently in studies on the treatment (31.0%). In total, 47 pathogens were included in the studies described; most were Gram-positive bacteria (n = 34). The three bacteria most frequently included in the studies were Staphylococcus aureus (n = 55 articles), Escherichia coli (n = 31) and Streptococcus uberis (n = 19). The proteomics technology employed more often in the respective studies was liquid chromatography-tandem mass spectrometry (LC-MS/MS), either on its own (n = 56) or in combination with other technologies (n = 40). The median year of publication of articles involving bioinformatics or LC-MS/MS and bioinformatics was the most recent: 2022. The 156 papers were published in 78 different journals, most frequently in the Journal of Proteomics (n = 16 papers) and the Journal of Dairy Science (n = 12). The median number of cited references in the papers was 48. In the papers, there were 1143 co-authors (mean: 7.3 ± 0.3 co-authors per paper, median: 7, min.–max.: 1–19) and 742 individual authors. Among them, 15 authors had published at least seven papers (max.: 10). Further, there were 218 individual authors who were the first or last authors in the papers. Most papers were submitted for open access (n = 79). The median number of citations received by the 156 papers was 12 (min.–max.: 0–339), and the median yearly number of citations was 2.0 (min.–max.: 0.0–29.5). The h-index of the papers was 33, and the m-index was 2. The increased number of cited references in papers and international collaboration in the respective study were the variables associated with most citations to published papers. This is the first ever scientometrics evaluation of proteomics studies, the results of which highlighted the characteristics of published papers on mastitis and proteomics. The use of proteomics in mastitis research has focused on the elucidation of pathogenesis and diagnosis of the infection; LC-MS/MS has been established as the most frequently used proteomics technology, although the use of bioinformatics has also emerged recently as a useful tool.

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Section: Introductionmentioning

confidence: 99%

Scientometrics Evaluation of Published Scientific Papers on the Use of Proteomics Technologies in Mastitis Research in Ruminants

Bourganou,

Chatzopoulos,

Lianou

et al. 2024

Pathogens

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“…In addition to being a species with significant economic value on a worldwide scale, Gallus gallus is a great biological model for genetic research (Wolpert, 2004; Vaziri et al., 2022). According to the USDA livestock and chicken 2020 report, the global consumption of chicken meat in 2019 was 97 million tons.…”

Section: Introductionmentioning

confidence: 99%

Genome‐wide association study of copy number variations with shank traits in a F₂ crossbred chicken population

Lotfizadeh,

Masoudi,

Vaez Torshizi

et al. 2024

Animal Genetics

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Copy number variations (CNVs) are large‐scale changes in the DNA sequence that can affect the genetic structure and phenotype of an organism. The purpose of this study was to investigate the existing CNVs and their associations with the shank diameter (ShD) and shank length (ShL) traits using data from an F2 crossbred chicken population. To carry out the study, 312 chickens were genotyped using the Illumina 60k SNP Beadchip. The shank traits of the birds were measured from day 1 to 12 weeks of age. penncnv and cnvruler tools were used to find copy numbers and regions with copy number changes (CNVR), respectively. The CNVRanger package was used to perform a genome‐wide association study between shank traits and CNVs. Gene ontology research in CNVRs was carried out using the david database. In this investigation, 966 CNVs and 606 regions with copy number changes were discovered. The copy number states and variations were randomly distributed along the length of the autosomal chromosomes. Weeks 1–4, 9 and 12 of growth revealed a significant association of copy number variations with shank traits, false discovery rate (FDR‐corrected p‐value < 0.01), and the majority of CNVs that were statistically significant were found on chromosomes 1–3. These CNV segments are nearby genes such as KCNJ12, FGF6 and MYF5, which are fundamental to growth and development. In addition, gene set analyses revealed terms related to muscle physiology, regulation of cellular processes and potassium channels.

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“…Most studies on quail deal with production, nutrition, and meat composition [ 14 , 15 , 16 ]. Information on the microbiological quality of quail meat is scarce, and most of the studies focus on the microbial count of mesophiles, Enterobacteriaceae , Staphylococcus spp., and Pseudmomonas [ 17 , 18 ].…”

Section: Introductionmentioning

confidence: 99%

Microbiological Quality and Safety of Fresh Quail Meat at the Retail Level

Martinez-Laorden,

Arraiz-Fernandez,

Gonzalez-Fandos

2023

Microorganisms

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The objective of this study was to evaluate the microbiological quality and safety of 37 fresh quail meats. Mesophiles, Pseudomonas spp., Enterobacteriaceae, and staphylococci counts were 5.25 ± 1.14, 3.92 ± 1.17, 3.09 ± 1.02, and 2.80 ± 0.64 log CFU/g, respectively. Listeria monocytogenes was detected in seven samples (18.92%). Campylobacter jejuni was detected in one sample (2.70%). Clostridium perfringens was not detected in any sample. The dominant bacteria were Pseudomonas spp. (30.46%), Micrococcaceae (19.87%), lactic acid bacteria (14.57%), and Enterobacteriaceae (11.92%). Brochotrix thermosphacta and enterococci were isolated to a lesser extent, 7.28% and 1.99%, respectively. The dominant Enterobacteriaceae found were Escherichia coli (42.53%). ESBL-producing E. coli was detected in one sample (2.70%), showing resistance to 16 antibiotics. Sixteen different Staphylococcus spp. and three Mammaliicoccus spp. were identified, the most common being S. cohnii (19.86%) and M. sciuri (17.02%). S. aureus and S. epidermidis were also found in one and four samples, respectively. Methicillin-resistant M. sciuri and S. warneri were found in 13.51% and 10.81% of quail samples, respectively. These bacteria showed an average of 6.20 and 18.50 resistances per strain, respectively. The high resistance observed in ESBL-producing E. coli and methicillin-resistant S. warneri is of special concern. Measures should be adopted to reduce the contamination of quail meat.

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Scientometric evaluation of 100-year history of Poultry Science (1921–2020)

Cited by 7 publications

References 53 publications

Scientometrics Evaluation of Published Scientific Papers on the Use of Proteomics Technologies in Mastitis Research in Ruminants

Scientometrics Evaluation of Published Scientific Papers on the Use of Proteomics Technologies in Mastitis Research in Ruminants

Genome‐wide association study of copy number variations with shank traits in a F₂ crossbred chicken population

Microbiological Quality and Safety of Fresh Quail Meat at the Retail Level

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Scientometric evaluation of 100-year history of Poultry Science (1921–2020)

Cited by 7 publications

References 53 publications

Scientometrics Evaluation of Published Scientific Papers on the Use of Proteomics Technologies in Mastitis Research in Ruminants

Scientometrics Evaluation of Published Scientific Papers on the Use of Proteomics Technologies in Mastitis Research in Ruminants

Genome‐wide association study of copy number variations with shank traits in a F2 crossbred chicken population

Microbiological Quality and Safety of Fresh Quail Meat at the Retail Level

Contact Info

Product

Resources

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Genome‐wide association study of copy number variations with shank traits in a F₂ crossbred chicken population