TY - JOUR
T1 - Fatigue During Pregnancy
T2 - A Bibliometric Analysis
AU - Yang, Chin Lan
AU - Chang, Ching Yi
N1 - Funding Information:
This work was supported by the Ministry of Science and Technology of Taiwan under contract number MOST 111-2410-H-038-029-MY2.
Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2023
Y1 - 2023
N2 - Objective: This study uses a systematic review with bibliometric analysis methods to investigate the characteristics of the most cited research papers in the field of nursing fatigue and pregnancy. Methods: In the Web of Science (WoS) database. We used the keywords “fatigue” and “pregnancy” to search for articles published from 2000 to 2020, limited to SSCI and Science Citation Index (SCI) journal-type articles. This study identifies the most cited studies in the WoS database based on PRISMA guidelines (Preferred reporting items for systematic reviews and meta-analyses). These studies form the research data, then visualized and analyzed using a retrospective bibliometric analysis and VOSviewer. Results: The studies in the dataset were analyzed in 319 different journals in 51 countries between 2000 and 2020. The study was found that the United States (US) was the country with the highest yield. The most frequent keywords were postpartum, depression, sleep, and postpartum depression. Conclusion: The research results further laid the foundation of bibliometrics for scholars and identified researchers, scientific journals, countries, and hot topics for fatigue-related pregnancy literature. Journals with high impact factors contain the most cited research and open new horizons for research in the nursing field of pregnancy-related fatigue, thus providing research inspiration for investigators in this field.
AB - Objective: This study uses a systematic review with bibliometric analysis methods to investigate the characteristics of the most cited research papers in the field of nursing fatigue and pregnancy. Methods: In the Web of Science (WoS) database. We used the keywords “fatigue” and “pregnancy” to search for articles published from 2000 to 2020, limited to SSCI and Science Citation Index (SCI) journal-type articles. This study identifies the most cited studies in the WoS database based on PRISMA guidelines (Preferred reporting items for systematic reviews and meta-analyses). These studies form the research data, then visualized and analyzed using a retrospective bibliometric analysis and VOSviewer. Results: The studies in the dataset were analyzed in 319 different journals in 51 countries between 2000 and 2020. The study was found that the United States (US) was the country with the highest yield. The most frequent keywords were postpartum, depression, sleep, and postpartum depression. Conclusion: The research results further laid the foundation of bibliometrics for scholars and identified researchers, scientific journals, countries, and hot topics for fatigue-related pregnancy literature. Journals with high impact factors contain the most cited research and open new horizons for research in the nursing field of pregnancy-related fatigue, thus providing research inspiration for investigators in this field.
KW - Depression
KW - Fatigue
KW - Postpartum depression
KW - Pregnancy symptoms
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U2 - 10.1007/s10995-023-03609-4
DO - 10.1007/s10995-023-03609-4
M3 - Review article
AN - SCOPUS:85147915094
SN - 1092-7875
VL - 27
SP - 766
EP - 773
JO - Maternal and Child Health Journal
JF - Maternal and Child Health Journal
IS - 5
ER -
