The scripts referred to in this training video can be found at VP Resources>VP Macros VantagePoint Heatmap
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Importing E-mail in VantagePoint
The scripts mentioned in this training video can be found under VP Resources>VP Macros Gmail Import to VantagePoint and Export MS Outlook Email and Import into VP
2006 DISSERTATION: Scaling the Technology Opportunity Analysis Text Data Mining Methodology: Data Extraction, Cleaning, Online Analytical Processing Analysis, and Reporting of Large Multi-source Datasets
Because the existing applications of Technology Opportunity Analysis (TOA) text data mining framework developed by Alan Porter and other researchers used small datasets, previous research never pushed the limits of the methodology and failed to identify areas for future research associated with using larger datasets. This research developed extensions to the TOA framework to improve its performance and scalability and proved that the Technology Opportunity Analysis text data mining framework could be successfully scaled to analyze large datasets. The work included the development of a comprehensive set of new or significantly improved data extraction filters and data cleaning thesauruses, a data model and architecture based on relational database and online analytical processing technologies that provides an open platform provides easy, standards-compliant access to browsing, reporting, and data mining software that support either SQL or MDX queries, and a report distribution framework that does not require the end-users of the output of Technology Opportunity Analysis to use any specialized or prohibitively expensive client applications beyond the standard Microsoft Office applications and Adobe Acrobat Reader. In addition, it demonstrated that the time necessary to complete the data acquisition, cleaning, and transformation tasks can be reduced by at least 75% by creating libraries of import filters for commonly used data sources, eliminating unnecessary steps, using 64-bit native databases and extraction filters, improving the data model and architecture, and using significantly better data cleaning thesauruses. This work is significant because it enables a variety of research paths applying alternative statistical or data mining algorithms that previously would have been impossible to undertake. Thesauruses and fuzzy logic routines to clean and group the data are presented and their accuracy is tested on gene expression, energy storage, photovoltaics, smart materials, bioinformatics, quantum computing, wind turbine, nanotube, global warming, and data fusion data sets and benchmarked against existing thesauruses and fuzzy logic routines. A database on photovoltaic solar cell research that integrates data from 116,240 records from thirteen bibliographic, patent, and funding abstract databases was used to illustrate the concepts developed and tested in this dissertation.
Doctoral candidate: Richard Peyton George
University: Capella University
Degree program: Doctor of Philosophy – Due Diligence / Data Mining
Year: 2006
Mapping soybean physiology research based on the web of science
The aim of this paper was to map the scientific research on soybean physiology by using bibliographic review and analyses of papers indexed up to July 31, 2014 in the web of science database. A total of 1682 non-redundant bibliographic records were curated. The soybean physiology research experienced two major periods. The first period was from 1943 when the first soybean paper was published to 1989 during which a small and gradual increase took place with no more than 12 annual publications. The second period being from 1990 to present, saw a substantial increase in annual publications ranging from 35 to 92 per year. Authors representing a total of 76 countries were involved in soybean physiology research. Drs. T.R. Sinclair and Dr. D.B. Egli were the most productive authors while the USDA/ARS, University of Illinois and Iowa State University published the most influential articles. The most productive journals were the Journals of Crop Science, Plant Physiology, Plant and Soil, Field Crops Research the most research subject categories were nitrogen fixation, photosynthesis, growth, mineral nutrition, genotypes, drought stress, yield and quality. Gene expression for quality and yield under drought stress has become a favored topic for soybean physiology. Eight out of the top ten productive institutions were located in the USA. The USA exceeded all other countries with the most independent and collaborative papers on soybean physiology research. The status of publications on soybean physiology described here may serve as a tool for guiding researchers in their future work.
Full-text available
http://www.researchgate.net/profile/Yadong_Qi2/publication/282251881_Mapping_soybean_physiology_research_based_on_the_web_of_science/links/560988b008ae576ce63e3160.pdf
Author(s): X.B. Liu, C.L. Sheng, S.J. Herbert, K.L. Chin, Y. Qi
Organization(s): Chinese Academy of Sciences, University of Massachusetts, Southern University Agricultural Research and Extension Center
Source: International Journal of Plant Production
Year: 2015
Analysis of Technological Developments in the Treatment of Alzheimer’s Disease through Patent Documents
Population aging and the consequent change in the profile of the age pyramid are already a reality the world over. One undeniable effect of this aging process is the significant increase in the number of people with Alzheimer’s disease (AD), which is the most common form of dementia, accounting for around 50% – 60% of all cases. AD tends to affect people in their 60 s, becoming progressively more commonplace in older age groups. It is an incurable disease, and patients can live for many years taking medication on a daily basis. This study shows that research into AD is on the rise around the world because the pharmaceutical industry and research institutions are seeking new types of drugs to treat and even cure Alzheimer’s patients. By analyzing patent documents, we
map out the potential future treatments for this disease, indicating the leading countries and drugs companies that have invested most in a bid to accelerate progress towards new discoveries about the disease and the development of new drugs.
Author(s): Karinne Marieta Carvalho, Eduardo Winter, Adelaide Maria de Souza Antunes
Organization(s): Federal University of Rio de Janeiro and INPI—Brazilian National Institute of Industrial Property
Source: Intelligent Information Management
Year: 2015
Mapping the landscape of climate engineering
In the absence of a governance framework for climate engineering technologies such as solar radiation management (SRM), the practices of scientific research and intellectual property acquisition can de facto shape the development of the field. It is therefore important to make visible emerging patterns of research and patenting, which we suggest can effectively be done using bibliometric methods. We explore the challenges in defining the boundary of climate engineering, and set out the research strategy taken in this study. A dataset of 825 scientific publications on climate engineering between 1971 and 2013 was identified, including 193 on SRM; these are analysed in terms of trends, institutions, authors and funders. For our patent dataset, we identified 143 first filings directly or indirectly related to climate engineering technologies—of which 28 were related to SRM technologies—linked to 910 family members. We analyse the main patterns discerned in patent trends, applicants and inventors. We compare our own findings with those of an earlier bibliometric study of climate engineering, and show how our method is consistent with the need for transparency and repeatability, and the need to adjust the method as the field develops. We conclude that bibliometric monitoring techniques can play an important role in the anticipatory governance of climate engineering.
Full-text available at http://rsta.royalsocietypublishing.org/content/372/2031/20140065.full
Author(s): P. Oldham, B. Szerszynski, J. Stilgoe, C. Brown, B. Eacott, A. Yuille
Organization(s): Lancaster University and University College London
Source: Philosophical Transactions A
Year: 2014
Literature-related discovery and innovation: Chronic kidney disease
Different approaches for preventing, reducing, halting, and reversing chronic kidney disease (CKD) have been described in the medical literature. However, all related factors have not been identified together. To overcome these limitations, we used an LRDI-based methodology (potentially applicable to any disease) based on the following holistic principle: a necessary, but not sufficient, condition for restorative treatment effectiveness is that potential causes must be removed initially or in parallel with treatment. Literature-Related Discovery and Innovation (LRDI) is a text mining approach that integrates discovery generation from disparate literatures with the wealth of knowledge contained in prior scientific publications. To support the central requirement of the holistic principle above, LRDI seeks to identify foundational causes that, if eliminated, could potentially reverse chronic and infectious diseases.
The LRDI findings would be implemented in three steps by: 1) identifying major symptoms of CKD, 2) identifying and removing foundational causes that drive the symptoms identified, then 3) identifying treatment(s) to reduce, halt, or reverse the progression of CKD and eliminate the remaining symptoms and damage caused by CKD (if not irreversible). We presumed that identifying and eliminating all of the foundational causes as comprehensively, thoroughly, and rapidly as possible may potentially achieve the desired medical goals and obviate the need for any pharmacologic treatments in selected patients. If treatments are required, eliminating the wide spectrum of potential causes identified in this study should enhance their effectiveness.
There were two major types of advances made in this study: information technology and medical. The major information technology advance was development of a query to identify the full-spectrum of foundational causes for CKD, and substantially upgrading a query used previously to identify the full spectrum of treatments. The major medical advance was identification of over 900 potential CKD direct and indirect foundational causes that encompass discovery and innovation, along with over 900 CKD direct and indirect treatments that encompass discovery and innovation. The foundational causes were comprised of environmental and occupational exposures, biotoxins, iatrogenic, and lifestyle factors. The myriad treatments ranged from foods, food extracts, drugs, biological, biophysical, and lifestyle changes. A limitation of the LRDI method is that the magnitude of these associations cannot be determined. Nonetheless, after prioritizing potentially relevant factors, eliminating as many upstream or foundational causes as possible may provide benefits to patients with CKD beyond the current emphasis on downstream pharmacologic approaches.
http://www.sciencedirect.com/science/article/pii/S0040162514002832
Author(s): Ronald Neil Kostoff and Uptal Patel
Organization(s): Georgia Institute of Technology and Duke Clinical Research Institute
Source: Technological Forecasting and Social Change
Year: 2015
2014 MASTERS THESIS: Water as social and economic resource. Resolving questions about sharing water in Central Asia.
Water scarcity in the World today is growing faster than expected and it is
among the main problems of 21st century to be faced by the World.
Central Asia is considered like a region with enough water resources, however,
an ineffective use of water, it’s allocation, rapidly growing population, and lack
of knowledge in sharing common basin among riparian countries could lead to
serious consequences. In this work we wanted to analyse literature about water
issues with the aim to understand when and how water disputes were
occurring. For this purpose, we have used bibliometric analysis to define and
look for better and reliable dates for the Thesis. All the dates and articles which
were used for this work were taken from the Web of Science. Furthermore,
thanks to VantagePoint and Social Networks Analysis we have got specific
articles which were sorted and divided according to your preference, calculating
measures of centrality to determine the importance of each keyword.
In following chapters we have also presented small research on the Central
Asian example, and the role of Kyrgyzstan in water sharing is illustrated.
Masters candidate: Meerim Avazbekova
Thesis Supervisor: Professor Blanca de Miguel
University: Polytechnic University of Valencia
Degree program: Master Degree in Business Management, Products and Services
Year: 2014
Full-text available here https://riunet.upv.es/bitstream/handle/10251/44346/TFM.pdf?sequence=2
Mapping Knowledge Produced on Problem-Based Learning between 1945 and 2014: A Bibliometric Analysis
Problem-based learning (PBL) has been systematized for over forty years. However, there is still a lack of studies that seek to visualize the evolution of scientific literature on the subject. This paper seeks to fill this gap through the development of a bibliometric analysis by carrying out a data search on the Web of Science™ database and subsequently transferring the acquired data for treatment to the VantagePoint© software package. The data indicate that research on PBL shows a strong progression since the end of the twentieth century, with a high volume of the most impacting studies being carried out by a group of researchers who are currently linked to or used to be connected to the Maastricht University. As a result of these studies, a geographical (from North America and Europe to Asia) and academic (from research in medical education to other biomedical and engineering areas) spread of scientific production regarding this teaching methodology
has arisen.
Full-text available here Mapping Knowledge Produced on Problem-Based Learning between 1945 and 2014: A Bibliometric Analysis
Author(s): Luis Antonio de Pinho, Fábio Batista Mota, Mariza Velloso Fernandez Conde,
Luiz Anastácio Alves, Renato Matos Lopes
Organization(s): Instituto Federal do Acre—Câmpus Rio Branco and Fundação Oswaldo Cruz
Source: Creative Education
Year: 2015
Evaluation of the Development of R&D into Parkinson’s Disease through Technology Monitoring Using Patent Documents and Scientific Articles
Characterized as a progressive neurodegenerative disease caused by the loss of dopaminergic neurons in the substantia nigra, Parkinson’s disease is affecting an ever greater number of people around the world as global life expectancy rises. As the disease progresses, it has physical, mental, emotional, social, and economic impacts on the patient, eroding their quality of life. Many studies have been done to understand what leads to the onset of the disease and to develop treatments or even prevention. This study uses technology foresight by identifying patents and scientific articles related to drugs for the treatment of the disease with the purpose of assessing the progress of research over time and map out the countries and companies that control the related technologies.
Full-text available at http://www.ijrpb.org/pdf/v2-i3/4.pdf
Author(s): Karinne Marieta Carvalho , Eduardo Winter , Adelaide Maria de Souza Antunes
Organization(s): Federal University of Rio de Janeiro and National Institute of Industrial Property
Source: International Journal of Research in Pharmacy and Biosciences
Year: 2015