Literature Metrology Analysis Research Articles

Network pharmacology in combination with bibliometrics analysis on the mechanism of compound Kushen injection in the treatment of radiation pneumonia and lung cancer.

Radiation pneumonia is a common adverse reaction during radiotherapy in lung cancer patients, which negatively impacts the quality of life and survival of patients. Recent studies have shown that compound Kushen injection (CKI), a traditional Chinese medicine (TCM), has great anti-inflammatory and anticancer potential, but the mechanism is still unclear. We used CiteSpace, the R package "bibliometrix," and VOSviewers to perform a bibliometrics analysis of 162 articles included from the Web of Science core collection. A network pharmacology-based approach was used to screen effective compounds, screen and predict target genes, analyze biological functions and pathways, and construct regulatory networks and protein interaction networks. Molecular docking experiments were used to identify the affinity of key compounds and core target. The literature metrology analysis revealed that over 90% of the CKI-related studies were conducted by Chinese scholars and institutions, with a predominant focus on tumors, while research on radiation pneumonia remained limited. Our investigation identified 60 active ingredients of CKI, 292 genes associated with radiation pneumonia, 533 genes linked to lung cancer, and 37 common targets of CKI in the treatment of both radiation pneumonia and lung cancer. These core potential targets were found to be significantly associated with the OS of lung cancer patients, and the key compounds exhibited a good docking affinity with these targets. Additionally, GO and KEGG enrichment analysis highlighted that the bioinformatics annotation of these common genes mainly involved ubiquitin protein ligase binding, cytokine receptor binding, and the PI3K/Akt signaling pathway. Our study revealed that the main active components of CKI, primarily quercetin, luteolin, and naringin, might act on major core targets, including AKT1, PTGS2, and PPARG, and further regulated key signaling pathways such as the PI3K/Akt pathway, thereby playing a crucial role in the treatment of radiation pneumonia and lung cancer. Moreover, this study had a certain promotional effect on further clinical application and provided a theoretical basis for subsequent experimental research.

Networking and sustainable development of urban spatial planning: Influence of rail transit

Urban rail transit supports the development of megacities, while changes in urban spatial structure affect the structure of urban rail transit networks and the carbon emissions of vehicles. The interactions between urban rail transit and urban space in megacities form a complex spatial networking system. It has become important to guide cities toward low-carbon, energy-saving, and sustainable development through rail transit planning recently. To address this need, this study engages in theoretical clarification by, first, conducting a literature metrology analysis method to explore the relationship between rail transit, urban space, and sustainability. The analysis revealed that improving rail transit network efficiency for urban sustainable development. Next, this study summarized (1) the laws of the role of rail transit on urban spatial structure. (2) Pointed out there is a relative lack of research on the internal network structure of megacities. Lastly, the study summarized the influencing factors and optimization measures of network efficiency from existing literature and it is pointed out that (1) the optimization of network efficiency lacks consideration of sustainable urban concepts, and there are few studies on rail transit network efficiency. (2) The collaborative development of urban spatial networks driven by Big Data is a future research trend.

Systematic bibliometric and visualized analysis of research hotspots and trends in artificial intelligence in autism spectrum disorder.

Artificial intelligence (AI) has been the subject of studies in autism spectrum disorder (ASD) and may affect its identification, diagnosis, intervention, and other medical practices in the future. Although previous studies have used bibliometric techniques to analyze and investigate AI, there has been little research on the adoption of AI in ASD. This study aimed to explore the broad applications and research frontiers of AI used in ASD. Citation data were retrieved from the Web of Science Core Collection (WoSCC) database to assess the extent to which AI is used in ASD. CiteSpace.5.8. R3 and VOSviewer, two online tools for literature metrology analysis, were used to analyze the data. A total of 776 publications from 291 countries and regions were analyzed; of these, 256 publications were from the United States and 173 publications were from China, and England had the largest centrality of 0.33; Stanford University had the highest H-index of 17; and the largest cluster label of co-cited references was machine learning. In addition, keywords with a high number of occurrences in this field were autism spectrum disorder (295), children (255), classification (156) and diagnosis (77). The burst keywords from 2021 to 2023 were infants and feature selection, and from 2022 to 2023, the burst keyword was corpus callosum. This research provides a systematic analysis of the literature concerning AI used in ASD, presenting an overall demonstration in this field. In this area, the United States and China have the largest number of publications, England has the greatest influence, and Stanford University is the most influential. In addition, the research on AI used in ASD mostly focuses on classification and diagnosis, and "infants, feature selection, and corpus callosum are at the forefront, providing directions for future research. However, the use of AI technologies to identify ASD will require further research.

Trends and frontiers in natural products for arthritis, 2000-2021: A bibliometric analysis.

Arthritis has become one of the trouble diseases that upsets people. A growing number of studies have shown that natural products have great potential for the treatment of arthritis. However, few bibliometrics have been systematically studied in this area. This paper analyzes the literature data of natural products on the arthritis research, and the research hot spots and future research directions of the treatment of arthritis by natural products were explored. Through CiteSpace, VOSviewer software and Bibliometricx under the R language environment, the article and review literatures on the treatment of arthritis with natural drugs in the Web of Science core collection database were analyzed by bibliometric analysis. On December 28, 2021, a total of 2102 records were retrieved, 81.69% publications were issued in 2012 to 2021, mainly in China-dominated Asian countries, with cooperation among countries. The analysis of the number of articles published by institutions shows that the number of articles published by China Academy of Chinese Medical Sciences is up to 82. Lu, Aiping and Smolen, JS are the authors with the highest citation frequency and co-citation frequency. Keywords analysis showed that the research of natural drugs mainly focused on gene expression, anti-inflammatory and other mechanisms and signaling pathways. With the progress of science and technology and the integration of multi-disciplines, the research on natural drugs for arthritis will be more in-depth and specific. In this study, literature metrology analysis was conducted on natural products in the treatment of arthritis, in order to grasp the background, trends and frontiers of the research, and predict possible research hotspots in the future. It is expected to provide some reference value and direction for future scholars in this field.

Hotspots and trends of biological water treatment based on bibliometric review and patents analysis

In order to reveal the hotspots and trends of biological water treatment from the perspectives of scientific and technological innovation, both of the bibliometric review and patents analysis were performed in this study. The Web of Science Core Collection database and Derwent Innovation Index database recorded 30023 SCI papers and 50326 patents, respectively were analyzed via information visualization technology. The results showed that China ranked the first in both papers and patents, while the United States and Japan had advantages in papers and patents, respectively. It was concluded through literature metrology analysis that microbial population characteristics, biodegradation mechanism, toxicity analysis, nitrogen and phosphorus removal and biological treatment of micro-polluted wastewater were the research hotspots of SCI papers. Activated sludge process and anaerobic-aerobic combined process were the two mainstream technologies on the basis of patent technology classification analysis. Technology evolution path of biological water treatment was also elucidated in three stages based on the citation network analysis. Furthermore, the future directions including research on the law of interaction and regulation of biological phases and pollutants and the technology innovations towards the targeted biotransformation or selective biodegradation of pollutants and resource reuse of wastewater were prospected.

Integrative analysis of dysregulated lncRNA-associated ceRNA network reveals potential lncRNA biomarkers for human hepatocellular carcinoma.

BackgroundHepatocellular carcinoma (HCC) is an aggressive cancer with a poor prognosis and a high incidence. The molecular changes and novel biomarkers of HCC need to be identified to improve the diagnosis and prognosis of this disease. We investigated the current research concentrations of HCC and identified the transcriptomics-related biomarkers of HCC from The Cancer Genome Atlas (TGCA) database.MethodsWe investigated the current research concentrations of HCC using literature metrology analysis for studies conducted from 2008 to 2018. We identified long noncoding RNAs (lncRNAs) that correlated with the clinical features and survival prognoses of HCC from The Cancer Genome Atlas (TGCA) database. Differentially expressed genes (lncRNAs, miRNAs, and mRNAs) were also identified by TCGA datasets in HCC tumor tissues. A lncRNA competitive endogenous RNA (ceRNA) network was constructed from lncRNAs based on intersected lncRNAs. Survival times and the association between the expression levels of the key lncRNAs of the ceRNA network and the clinicopathological characteristics of HCC patients were analyzed using TCGA. Real-time polymerase chain reaction (qRT-PCR) was used to validate the reliability of the results in tissue samples from 20 newly-diagnosed HCC patients.ResultsAnalysis of the literature pertaining to HCC research revealed that current research is focused on lncRNA functions in tumorigenesis and tumor development. A total of 128 HCC dysregulated lncRNAs were identified; 66 were included in the co-expressed ceRNA network. We analyzed survival times and the associations between the expression of 66 key lncRNAs and the clinicopathological features of the HCC patients identified from TCGA. Twenty-six lncRNAs were associated with clinical features of HCC (P < 0.05) and six key lncRNAs were associated with survival time (log-rank test P < 0.05). Six key lncRNAs were selected for the validation of their expression levels in 20 patients with newly diagnosed HCC using qRT-PCR. Consistent fold changes in the trends of up and down regulation between qRT-PCR validation and TCGA proved the reliability of our bioinformatics analysis.ConclusionsWe used integrative bioinformatics analysis of the TCGA datasets to improve our understanding of the regulatory mechanisms involved with the functional features of lncRNAs in HCC. The results revealed that lncRNAs are potential diagnostic and prognostic biomarkers of HCC.

Status for self-medication based on bibliometric study in China

To figure out problems through analyzing the status for self-medication in China and to provide references for further research. Methods: Papers related to self-medication were collected from Chinese journal net database, Wanfang database, VIP database and China biomedical literature database (CBMDisc). A literature metrology analysis was carried out by NoteExpress 2.0 and Excel. Results: A total of 161 papers were included in this study, while 33 papers belong to Hubei and Jiangsu Province, accounting for 20.50% of the total amount of the papers. 22 papers were from journals as follows: China Pharmacy, Medicine and Society and Chinese Journal of Pharmacoepidemiology, accounting for 13.67% of the total papers. 118 papers belong to research and experience discuss, accounting for 73.29% of all. The cooperation degree was 2.37, and 28 papers were funded. Domestic research reflected the current status of self-medication in our country. Although self-medication brought convenience for residents and reduce the burden on health system, it also brought a series of safety problems. Conclusion: Self-medication gradually catches the attention of the researchers. Some researchers have paid attention to self medication, but the evidence is at a low level. Researchers should strengthen cooperation with interagency and carry out experimental study to promote further development for self-medication.

Chinese Sports Literature Metrology Analysis of the Development and Changes in the Academic Research

Chinese Sports Literature Metrology Analysis of the Development and Changes in the Academic Research

Biobliometric analysis on nursing continuing care in our country

Objective To systematically analyzed the review situations and existed problems of continuing care in China. Methods The bibliometrics analysis was carried on articles related with continuing care/continuum of care/continuing care which were from two databases CBMdisk and CNKI by the keywords. Results A total of 252 articles were found out from the two databases. The first article was published in 1999, and they began to develop increasingly yearly after 2007; The first five regions of the high outgoing message quantity were Guangdong, Jiangsu, Beijing, Hu′nan and Tianjin. 72.62% of 252 articles were about clinical practice reports on continuing care; the first three contents of research were cardiology (21.31%), endocrinology (16.94%) and neurology (10.93%); the core periodical included 6 kinds of journals, whose cumulative article quantity accounted for 34.52%, unfortunately the literature collaboration degree was 1.43, and rate of cooperation was 32.14%. Conclusions continuing care is not carried out long in China, and it is developed rapidly recently but unevenly in different regions; with the wide range of application, there are more and more research focus, and researchers tended to use high-quality research method; although there are much more core periodicals relative to continuance of care, the researching team has not been formed completely. Key words: Continuing care; Literature metrology analysis; China

Literature metrology analysis of adverse reaction reports of Reduning injection

Objective To investigate the general rules and features of drug adverse reaction induced by Reduning injection inorder to provide reference for clinical rational administration. Methods The literatures about the advers reaction induced by Reduning injection published from 2008-2014 in China were retrieved.The articles were analysed using literature metrology methods. Results 25 articles related to 282 individual cases were retrieved.The adverse reactions were related to sexuality and drug combination.Children were the high risk group.Incidence rate of the adverse reaction of boys was much higher than that of girls.Combination with antibacterials might increase the incidence rate of adverse reaction.The major clincal manifestation was the adverse reaction of dermal system(208 case)and anaphylactic response(36 case).Anaphylactic shock was the serious reaction in clinical(11 case). Conclusion Clinician and pharmacists should understand the rules and characteristic of adverse reaction caused by reduning injection.Using drug must according to the direction in clinical.It must pay more attention to medication monitoring in order to reduce the occurrence of drug adverse reaction. Key words: Reduning injection; Adverse reaction; Literature analysis

Study on Literature Analysis on UV/H&lt;sub&gt;2&lt;/sub&gt;O&lt;sub&gt;2&lt;/sub&gt; Technology from 1969 to 2011

At present, many researchers focus on UV/H2O2 technology which is used to treat wastewater. In this paper, using “UV” and “Hydrogen Peroxide” as key words, all literatures in EI Index from 1969 to 2011 were searched by principle of literature metrology analysis. A detailed analysis was carried out in view of the year, journal, institution, country and language to reveal the status of international research and development on this technology. The statistics results show that a total of 1936 articles is published in 42 years and the literature number has increased year by year. The most articles were published in the last 10 years. Chinese researcher publishes the most articles all over the word. University is the main publication institution and English is the main language. Most of the articles were published on Journal of Hazardous Materials, Water Research and Water Science &amp; Technology.

Literature metrology analysis of adverse reactions reports of Denzhanxixin injection

To investigate the effect of Dengzhanxixin injection induced adverse reactions of the general rule and characteristic, guide clinical rational drug use. Through the retrieval of 1979-2012 reported in domestic medical journals of Dengzhanxixin injection induced adverse reactions and case, literature metrology analysis analysis. The search to Dengzhanxixin injection in 25 cases of adverse drug reactions, the adverse reactions closely related with gender, age, solvent, dose, the combination drugs. The main clinical manifestations of allergic reactions, severe cases can cause allergic shock and multiple organ dysfunction. Clinicians and pharmacists should understand of Dengzhanxixin injection pattern and characteristics of adverse reactions, rational drug use norms, strengthen the application of monitoring, reduce the occurrence of adverse reactions.

Treatment of type 2 diabetes mellitus oral Chinese patent medicine literature metrology analysis

The CBM, CNKI database 1979-2012 included oral Chinese patent medicine treatment diabetes literature, and the literature published time, periodical distribution, sources of literature and statistical analysis, to explore the treatment of type 2 diabetes medicine clinical literature distribution law and development trend, as in diabetes research related to the clinical and scientific research personnel to provide reference.