ArticleInternational journal of reproductive biomedicine2017
Bibliometric and thematic analysis of articles in the field of infertility (2011-2015).
Article in International journal of reproductive biomedicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed.
- Systematic bibliometric and visualized analysis of global research trends, impact, emerging areas, and hotspots of artificial intelligence in personalized medicine.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Intelligent Care: A Scientometric Analysis of Artificial Intelligence in Precision Medicine.Medical sciences (Basel, Switzerland) · 2025Review
- A Bibliometric Analysis of Research Trends in Aging and Leisure Activities from 2000 to 2023.Current aging science · 2025Article
- Scientometrics Analysis of Global Researches on Anemia.International journal of hematology-oncology and stem cell research · 2024Review
- Mapping the Intellectual Structure of Medical Sociology: A Co-Word Analysis.Iranian journal of public health · 2022Article
- Asian business and management: review and future directions.Asian business & management · 2022Article
- A 10-Year Bibliometric Analysis of Global Research on Gut Microbiota and Parkinson's Disease: Characteristics, Impact, and Trends.BioMed research international · 2022Article
- An In-Depth Bibliometric Analysis and Current Perspective on Male infertility Research.The world journal of men's health · 2021Article
- Fatemeh Makkizadeh Ph.D., Esmaeil Bigdeloo M.A.International journal of reproductive biomedicine · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInfertility is a disease that results in the abnormal functioning of the male or female reproductive system. Systematic research planning on any subject, including infertility is in need of solid data regarding previous efforts in this field and to identify the gaps in the research.
objectiveThe aim of this research is to study the thematic structure of articles related to infertility. MATERIALS AND
methodsIn this descriptive-analytical study with a scientometric approach, the PubMed database was searched for research publications indexed under "Infertility" over the period 2011-2015. Specific parameters were retrieved from the PubMed. Articles about infertility were analyzed regarding the journal of publication, topics, and countries using Net draw, Ucinet and RavarPreMap software. Also, the most influential topics were analyzed by indicators in the analysis of the network: closeness centrality, and between centrality.
resultsThe growth in scientific productions the area of infertility over the mentioned period shows an upward trend with the highest growths seen in countries like the United States, the UK, Netherlands, China, and Germany. Moreover, the contents such as fertilization in vitro, adverse effects, spermatozoa, pregnancy rate, and treatment outcome were among the most frequently-used topics in the sphere.
conclusionThematic analysis can provide us the research topics, important expressions, and the relationships between them. Users and policymakers can also have a better understanding of the research status in the sphere and consequently, they can plan to increase the quantity and quality of scientific productions in a more efficient way.
Indexed as
Identifiers
29404534PMC5780558What OpenQuestion holds
Registered trials
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.