ArticleInternational journal of reproductive biomedicine2019
Fatemeh Makkizadeh Ph.D., Esmaeil Bigdeloo M.A.
Article in International journal of reproductive biomedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed, 7 citations in OpenAlex.
- Scientometrics Analysis of Global Researches on Anemia.International journal of hematology-oncology and stem cell research · 2024Review
- Worldwide research trend of publications concerning spermatogenesis over past 10 years: A bibliometric study.Andrologia · 2022Article
- Mapping the Intellectual Structure of Medical Sociology: A Co-Word Analysis.Iranian journal of public health · 2022Article
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe Co-word analysis has the ability to identify the intellectual structure of knowledge in a research domain and reveal its subsurface research aspects.
objectiveThis study examines the intellectual structure of knowledge in the field of Andrology during the period 2008-2017 using Co-word analysis. MATERIALS AND
methodsIn this descriptive-analytical study with a scientometric approach, the WoS database was searched for papers indexed under "Andrology" over the period 2008-2017. The data were analyzed using Co-word, clustering methods, and strategic diagram with the help of SPSS, UcInet, RavarPreMap and VOSviewer software.
resultsThe highest publication rate in the area of Andrology was seen in countries like the USA, China, Italy, and Iran. The top three journals that published papers on the field were Fertility and Sterility, Andrologia, Human reproduction. The results showed that the keyword "Spermatozoa" and two pairs of frequently used keywords, namely "Azoospermia * Oligospermia" were the most frequent in the field of Andrology. The results of hierarchical clustering led to 13 clusters. The clusters "Reproductive Techniques" and "Spermatogenesis" are the core clusters and play an effective role. The "Post-Testicular causes" and "Neoplasm" clusters are in marginal.
conclusionThis study represented that Co-word analysis can well illustrate the intellectual structure of an area. Considering the frequency of keywords along with the clusters obtained, it seems that the majority of research approach was seen on infertility treatments, especially through assisted reproductive technology. Despite the importance of psychological aspects as well as education of reproductive health, these subjects have not been sufficiently considered.
Indexed as
Identifiers
What 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.