scholarly journals Exploring direct citations between citing publications

2020 ◽  
pp. 016555152091765
Author(s):  
Yong Huang ◽  
Yi Bu ◽  
Ying Ding ◽  
Wei Lu
Keyword(s):  
Computer Science ◽  
Large Scale ◽  
Citation Network ◽  
Bibliographic Coupling ◽  
Science Field ◽  
Highly Cited Papers ◽  
Microsoft Academic ◽  
The Relationship ◽  
Highly Cited

This article defines and explores the direct citations between citing publications (DCCPs) of a publication. We construct an ego-centred citation network for each paper that contains all of its citing papers and itself, as well as the citation relationships among them. By utilising a large-scale scholarly dataset from the computer science field in the Microsoft Academic Graph (MAG-CS) dataset, we find that DCCPs exist universally in medium and highly cited papers. For those papers that have DCCPs, DCCPs do occur frequently; highly cited papers tend to contain more DCCPs than others. Meanwhile, the number of DCCPs of papers published in different years does not vary dramatically. This paper also discusses the relationship between DCCPs and some indirect citation relationships (e.g. co-citation and bibliographic coupling).

scholarly journals Bibliometric Analysis based on Highly Cited Papers in Computer Science

2021 ◽  
Vol 1883 (1) ◽  
pp. 012053
Author(s):  
Fangyu Jiao ◽  
Ji Fang ◽  
Yutong Ci ◽  
Wenyan Tu
Keyword(s):  
Computer Science ◽  
Bibliometric Analysis ◽  
Highly Cited Papers ◽  
Highly Cited

Metamaterials Research: A Scientometric Assessment of Global Publications Output during 2007-16

2017 ◽  
Vol 37 (5) ◽  
pp. 320
Author(s):  
Dhawan S. M. ◽  
Gupta B. M. ◽  
Manmohan Singh ◽  
Asha Rani
Keyword(s):  
Computer Science ◽  
Materials Science ◽  
Citation Index ◽  
Citation Impact ◽  
Highly Cited Papers ◽  
The World ◽  
Publication Share ◽  
Scopus Database ◽  
Scientometric Assessment ◽  
Highly Cited

<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span>The paper examines 9858 global publications output on metamaterials research, as covered in Scopus database during 2007-16. The study reveals that metamaterials research registered 15.27% growth and averaged citation impact to 10.08 citations per paper. The global share of top 10 most productive countries in metamaterials research is 84.97 % and their individual global share ranged from 3.30% to 25.57%. China accounted for the largest global share (25.71%), followed by USA (23.96%), U.K. (6.06%), India (5.26%), etc. Five of top 10 countries scored relative citation index above the world average i.e. more than 1: Germany (2.06), USA (1.81), U.K. (1.49), Canada (1.03) and Spain (1.01). The international collaborative publications share of top 10 most productive countries varied from 6.14% to 59.80%. Physics and astronomy, among subjects, contributed the largest publication share (59.36%), followed by engineering (56.71%), materials science (33.30%), computer science (20.32%), mathematics (6.74%) and chemistry (4.46%). The top 20 most productive organisations and authors together contributed 24.69% and 13.17% global publications share respectively and 35.72% and 25.96% global citation share respectively. The top 20 journals accounted for 45.97% share of global output (5743 papers) reported in journals. Of the total global output on metamaterials research, 52 papers were found as highly cited papers averaging 535.64 citations per paper in 10 years. These 52 highly cited papers involved the participation of 310 authors and 142 organisations and were </span><span>published in 20 journals. </span></p></div></div></div>

Metamaterials Research: A Scientometric Assessment of Global Publications Output during 2007-16

2017 ◽  
Vol 37 (5) ◽  
pp. 320
Author(s):  
Dhawan S. M. ◽  
Gupta B. M. ◽  
Manmohan Singh ◽  
Asha Rani
Keyword(s):  
Computer Science ◽  
Materials Science ◽  
Citation Index ◽  
Citation Impact ◽  
Highly Cited Papers ◽  
The World ◽  
Publication Share ◽  
Scopus Database ◽  
Scientometric Assessment ◽  
Highly Cited

<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span>The paper examines 9858 global publications output on metamaterials research, as covered in Scopus database during 2007-16. The study reveals that metamaterials research registered 15.27% growth and averaged citation impact to 10.08 citations per paper. The global share of top 10 most productive countries in metamaterials research is 84.97 % and their individual global share ranged from 3.30% to 25.57%. China accounted for the largest global share (25.71%), followed by USA (23.96%), U.K. (6.06%), India (5.26%), etc. Five of top 10 countries scored relative citation index above the world average i.e. more than 1: Germany (2.06), USA (1.81), U.K. (1.49), Canada (1.03) and Spain (1.01). The international collaborative publications share of top 10 most productive countries varied from 6.14% to 59.80%. Physics and astronomy, among subjects, contributed the largest publication share (59.36%), followed by engineering (56.71%), materials science (33.30%), computer science (20.32%), mathematics (6.74%) and chemistry (4.46%). The top 20 most productive organisations and authors together contributed 24.69% and 13.17% global publications share respectively and 35.72% and 25.96% global citation share respectively. The top 20 journals accounted for 45.97% share of global output (5743 papers) reported in journals. Of the total global output on metamaterials research, 52 papers were found as highly cited papers averaging 535.64 citations per paper in 10 years. These 52 highly cited papers involved the participation of 310 authors and 142 organisations and were </span><span>published in 20 journals. </span></p></div></div></div>

scholarly journals QUANTIFYING AND MAPPING THE EVOLUTION OF A LEADER JOURNAL IN THE FIELD OF CIVIL ENGINEERING

2021 ◽  
Vol 27 (2) ◽  
pp. 100-116
Author(s):  
Ming Tang ◽  
Huchang Liao ◽  
Víctor Yepes ◽  
Alfredas Laurinavičius ◽  
Laura Tupėnaitė
Keyword(s):  
Scientific Community ◽  
Civil Engineering ◽  
Citation Network ◽  
Science Mapping ◽  
Highly Cited Papers ◽  
The Past ◽  
Citation Statistics ◽  
Over Time ◽  
Highly Cited

Automation in Construction is one of the leading international journals in construction and building dating back to 1992. This study aims to quantify and visualize the evolution of Automation in Construction publications using bibliometric methods. Our work has two parts: 1) publication and citation statistics in terms of annual distributions, citing sources, prolific countries/regions and institutes, and highly cited papers, 2) network and science mapping analyses in terms of co-authorship network, co-citation network and thematic evolution. Two bibliometric software, VOSviewer and SciMAT, are used to help us carry out the analyses. The results suggest that Automation in Construction has obtained increasing influence and reputation from scientific community over the past decades. It is expected that our study has guiding significance for editors and readers of this journal through providing key insights about the evolution over time.

Relationship between total plasma homocysteine and the risk of aneurysms – a meta-analysis

VASA ◽  
2020 ◽  
pp. 1-6
Author(s):  
Hanji Zhang ◽  
Dexin Yin ◽  
Yue Zhao ◽  
Yezhou Li ◽  
Dejiang Yao ◽  
...  
Keyword(s):  
Large Scale ◽  
Meta Analysis ◽  
Single Species ◽  
Total Plasma ◽  
Control Groups ◽  
Randomized Controlled ◽  
Randomized Controlled Studies ◽  
The Difference ◽  
The Relationship ◽  
Healthy Participants

Summary: Our meta-analysis focused on the relationship between homocysteine (Hcy) level and the incidence of aneurysms and looked at the relationship between smoking, hypertension and aneurysms. A systematic literature search of Pubmed, Web of Science, and Embase databases (up to March 31, 2020) resulted in the identification of 19 studies, including 2,629 aneurysm patients and 6,497 healthy participants. Combined analysis of the included studies showed that number of smoking, hypertension and hyperhomocysteinemia (HHcy) in aneurysm patients was higher than that in the control groups, and the total plasma Hcy level in aneurysm patients was also higher. These findings suggest that smoking, hypertension and HHcy may be risk factors for the development and progression of aneurysms. Although the heterogeneity of meta-analysis was significant, it was found that the heterogeneity might come from the difference between race and disease species through subgroup analysis. Large-scale randomized controlled studies of single species and single disease species are needed in the future to supplement the accuracy of the results.

New ''Cold War''

2020 ◽  
pp. 27-34
Author(s):  
Vladimir Batiuk
Keyword(s):  
Cold War ◽  
Nuclear Weapons ◽  
Armed Conflict ◽  
Large Scale ◽  
Arms Race ◽  
Ideological Struggle ◽  
Nuclear Arms Race ◽  
The Cold War ◽  
The Relationship ◽  
Nuclear Arms

In this article, the ''Cold War'' is understood as a situation where the relationship between the leading States is determined by ideological confrontation and, at the same time, the presence of nuclear weapons precludes the development of this confrontation into a large-scale armed conflict. Such a situation has developed in the years 1945–1989, during the first Cold War. We see that something similar is repeated in our time-with all the new nuances in the ideological struggle and in the nuclear arms race.

Investigating Diseases and Chemicals in COVID-19 Literature with Text Mining (Preprint)

2020 ◽  
Author(s):  
Amir Karami ◽  
Brandon Bookstaver ◽  
Melissa Nolan
Keyword(s):  
Text Mining ◽  
Literature Review ◽  
Topic Modeling ◽  
Large Scale ◽  
Clinical Manifestations ◽  
International Health ◽  
Research Papers ◽  
Strategic Plans ◽  
Funding Agencies ◽  
The Relationship

BACKGROUND The COVID-19 pandemic has impacted nearly all aspects of life and has posed significant threats to international health and the economy. Given the rapidly unfolding nature of the current pandemic, there is an urgent need to streamline literature synthesis of the growing scientific research to elucidate targeted solutions. While traditional systematic literature review studies provide valuable insights, these studies have restrictions, including analyzing a limited number of papers, having various biases, being time-consuming and labor-intensive, focusing on a few topics, incapable of trend analysis, and lack of data-driven tools. OBJECTIVE This study fills the mentioned restrictions in the literature and practice by analyzing two biomedical concepts, clinical manifestations of disease and therapeutic chemical compounds, with text mining methods in a corpus containing COVID-19 research papers and find associations between the two biomedical concepts. METHODS This research has collected papers representing COVID-19 pre-prints and peer-reviewed research published in 2020. We used frequency analysis to find highly frequent manifestations and therapeutic chemicals, representing the importance of the two biomedical concepts. This study also applied topic modeling to find the relationship between the two biomedical concepts. RESULTS We analyzed 9,298 research papers published through May 5, 2020 and found 3,645 disease-related and 2,434 chemical-related articles. The most frequent clinical manifestations of disease terminology included COVID-19, SARS, cancer, pneumonia, fever, and cough. The most frequent chemical-related terminology included Lopinavir, Ritonavir, Oxygen, Chloroquine, Remdesivir, and water. Topic modeling provided 25 categories showing relationships between our two overarching categories. These categories represent statistically significant associations between multiple aspects of each category, some connections of which were novel and not previously identified by the scientific community. CONCLUSIONS Appreciation of this context is vital due to the lack of a systematic large-scale literature review survey and the importance of fast literature review during the current COVID-19 pandemic for developing treatments. This study is beneficial to researchers for obtaining a macro-level picture of literature, to educators for knowing the scope of literature, to journals for exploring most discussed disease symptoms and pharmaceutical targets, and to policymakers and funding agencies for creating scientific strategic plans regarding COVID-19.

scholarly journals Strategic resources and smallholder performance at the bottom of the pyramid

2019 ◽  
Vol 22 (3) ◽  
pp. 365-380 ◽  
Author(s):  
Matthias Olthaar ◽  
Wilfred Dolfsma ◽  
Clemens Lutz ◽  
Florian Noseleit
Keyword(s):  
Large Scale ◽  
Business Environment ◽  
Agricultural Economics ◽  
Local Market ◽  
Bottom Of The Pyramid ◽  
Fine Grained ◽  
Strategic Resources ◽  
Relative Contribution ◽  
The Relationship ◽  
Resource Based Theory

In a competitive business environment at the Bottom of the Pyramid smallholders supplying global value chains may be thought to be at the whims of downstream large-scale players and local market forces, leaving no room for strategic entrepreneurial behavior. In such a context we test the relationship between the use of strategic resources and firm performance. We adopt the Resource Based Theory and show that seemingly homogenous smallholders deploy resources differently and, consequently, some do outperform others. We argue that the ‘resource-based theory’ results in a more fine-grained understanding of smallholder performance than approaches generally applied in agricultural economics. We develop a mixed-method approach that allows one to pinpoint relevant, industry-specific resources, and allows for empirical identification of the relative contribution of each resource to competitive advantage. The results show that proper use of quality labor, storage facilities, time of selling, and availability of animals are key capabilities.

scholarly journals Lack of an association between gallstone disease and bilirubin levels with risk of colorectal cancer: a Mendelian randomisation analysis

2021 ◽  
Author(s):  
Richard Culliford ◽  
Alex J. Cornish ◽  
Philip J. Law ◽  
Susan M. Farrington ◽  
Kimmo Palin ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Large Scale ◽  
Causal Effect ◽  
Gallstone Disease ◽  
Epidemiological Studies ◽  
Mendelian Randomisation ◽  
Linear Relationships ◽  
Potential Risk Factors ◽  
The Relationship ◽  
Circulating Levels

Abstract Background Epidemiological studies of the relationship between gallstone disease and circulating levels of bilirubin with risk of developing colorectal cancer (CRC) have been inconsistent. To address possible confounding and reverse causation, we examine the relationship between these potential risk factors and CRC using Mendelian randomisation (MR). Methods We used two-sample MR to examine the relationship between genetic liability to gallstone disease and circulating levels of bilirubin with CRC in 26,397 patients and 41,481 controls. We calculated the odds ratio per genetically predicted SD unit increase in log bilirubin levels (ORSD) for CRC and tested for a non-zero causal effect of gallstones on CRC. Sensitivity analysis was applied to identify violations of estimator assumptions. Results No association between either gallstone disease (P value = 0.60) or circulating levels of bilirubin (ORSD = 1.00, 95% confidence interval (CI) = 0.96–1.03, P value = 0.90) with CRC was shown. Conclusions Despite the large scale of this study, we found no evidence for a causal relationship between either circulating levels of bilirubin or gallstone disease with risk of developing CRC. While the magnitude of effect suggested by some observational studies can confidently be excluded, we cannot exclude the possibility of smaller effect sizes and non-linear relationships.

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