Bibliometric Analysis of Next-Generation Sequence Applications in Livestock

Selçuk Kaplan; Yasin Altay

Makale detayları

Bibliometric Analysis of Next-Generation Sequence Applications in Livestock

Yazarlar:

Selçuk Kaplan | Yasin Altay

Yayıncı:

Karyay Karadeniz Yayımcılık

Ana Başlıklar:

Hayvansal Üretim (Diğer)

Dergi:

Black Sea Journal of Agriculture Vol.6 Issue 5, pp.485-491

Belge Tipi:

Makale

Yayın Tarihi:

1/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001294128

pISSN:

2618-6578

Anahtar kelimeler:

Özet:

 Bibliometric analyzes are widely used in many fields. However, there are still insufficient bibliometric studies evaluating animal science studies from different perspectives. Therefore, we performed the comprehensive bibliometric analysis of 335 documents scanned in the Web of Science WoS database in next-generation sequence applications in livestock between 2009 and 2023. According to the analysis results, this field has been increasing interest recently. The fact that the studies 45.07 of total were carried out by international large research groups with the participation of many researchers shows that the collaborative working culture in this field is developed. BMC Genomics, Animals and Frontiers in Genetics are among the most preferred journals in studies in this field, and 14, 10 and 10 articles have been published, respectively, to date. The number of citations per article indicates the high impact of the articles published in this field. It has been determined that the three most frequently used keywords in next-generation sequence studies in the field of livestock are identification, diversity and expression. Overall, studies about next-generation sequence applications in livestock seem to be very popular among the scientific community in recent years.

 Bibliometric analyzes are widely used in many fields. However, there are still insufficient bibliometric studies evaluating animal science studies from different perspectives. Therefore, we performed the comprehensive bibliometric analysis of 335 documents scanned in the Web of Science WoS database in next-generation sequence applications in livestock between 2009 and 2023. According to the analysis results, this field has been increasing interest recently. The fact that the studies 45.07 of total were carried out by international large research groups with the participation of many researchers shows that the collaborative working culture in this field is developed. BMC Genomics, Animals and Frontiers in Genetics are among the most preferred journals in studies in this field, and 14, 10 and 10 articles have been published, respectively, to date. The number of citations per article indicates the high impact of the articles published in this field. It has been determined that the three most frequently used keywords in next-generation sequence studies in the field of livestock are identification, diversity and expression. Overall, studies about next-generation sequence applications in livestock seem to be very popular among the scientific community in recent years.

 Bibliometric analyzes are widely used in many fields. However, there are still insufficient bibliometric studies evaluating animal science studies from different perspectives. Therefore, we performed the comprehensive bibliometric analysis of 335 documents scanned in the Web of Science WoS database in next-generation sequence applications in livestock between 2009 and 2023. According to the analysis results, this field has been increasing interest recently. The fact that the studies 45.07 of total were carried out by international large research groups with the participation of many researchers shows that the collaborative working culture in this field is developed. BMC Genomics, Animals and Frontiers in Genetics are among the most preferred journals in studies in this field, and 14, 10 and 10 articles have been published, respectively, to date. The number of citations per article indicates the high impact of the articles published in this field. It has been determined that the three most frequently used keywords in next-generation sequence studies in the field of livestock are identification, diversity and expression. Overall, studies about next-generation sequence applications in livestock seem to be very popular among the scientific community in recent years.

 Bibliometric analyzes are widely used in many fields. However, there are still insufficient bibliometric studies evaluating animal science studies from different perspectives. Therefore, we performed the comprehensive bibliometric analysis of 335 documents scanned in the Web of Science WoS database in next-generation sequence applications in livestock between 2009 and 2023. According to the analysis results, this field has been increasing interest recently. The fact that the studies 45.07 of total were carried out by international large research groups with the participation of many researchers shows that the collaborative working culture in this field is developed. BMC Genomics, Animals and Frontiers in Genetics are among the most preferred journals in studies in this field, and 14, 10 and 10 articles have been published, respectively, to date. The number of citations per article indicates the high impact of the articles published in this field. It has been determined that the three most frequently used keywords in next-generation sequence studies in the field of livestock are identification, diversity and expression. Overall, studies about next-generation sequence applications in livestock seem to be very popular among the scientific community in recent years.

Makale detayları

Bibliometric Analysis of Next-Generation Sequence Applications in Livestock

Yazarlar:

Selçuk Kaplan | Yasin Altay

Yayıncı:

Karyay Karadeniz Yayımcılık

Ana Başlıklar:

Hayvansal Üretim (Diğer)

Dergi:

Black Sea Journal of Agriculture Vol.6 Issue 5, pp.485-491

Belge Tipi:

Makale

Yayın Tarihi:

1/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001294128

pISSN:

2618-6578

Bibliometrics

Next-generation sequence

Genome

SNP

Livestock

Sayı

Makale detayları

Bibliometric Analysis of Next-Generation Sequence Applications in Livestock

Yazarlar: Selçuk Kaplan | Yasin Altay

Yayıncı: Karyay Karadeniz Yayımcılık

Ana Başlıklar: Hayvansal Üretim (Diğer)

Dergi: Black Sea Journal of Agriculture Vol.6 Issue 5, pp.485-491

Belge Tipi: Makale

Yayın Tarihi: 1/2023

Belge Dili: İngilizce

Document ID (Org No.): 2001294128

pISSN: 2618-6578

Bibliometrics

Next-generation sequence

Genome

SNP

Livestock

Sayı

Yazarlar:

Selçuk Kaplan | Yasin Altay

Yayıncı:

Karyay Karadeniz Yayımcılık

Ana Başlıklar:

Hayvansal Üretim (Diğer)

Dergi:

Black Sea Journal of Agriculture Vol.6 Issue 5, pp.485-491

Belge Tipi:

Makale

Yayın Tarihi:

1/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001294128

pISSN:

2618-6578