Identifying Research Trends in IS

The Information Systems (IS) discipline is a relatively young and rapidly evolving field of study, and its roots can be found within diverse disciplines. While these roots have been studied thoroughly and discussed at length, little is known about the emergent areas of research within the discipline. In this study, we map the IS discipline based on all publications in the top IS journals from 2005 through 2014. Our results provide a holistic view of the field and identify active and emergent areas of research

Identifying Research Trends in IS

The Information Systems (IS) discipline is a relatively young and rapidly evolving field of study, and its roots can be found within diverse disciplines. While these roots have been studied thoroughly and discussed at length, little is known about the emergent areas of research within the discipline. In this study, we map the IS discipline based on all publications in the top IS journals from 2005 through 2014. Our results provide a holistic view of the field and identify active and emergent areas of research

OMICmAge : an integrative multi-omics approach to quantify biological age with electronic medical records

Biological aging is a multifactorial process involving complex interactions of cellular and biochemical processes that is reflected in omic profiles. Using common clinical laboratory measures in ~30,000 individuals from the MGB-Biobank, we developed a robust, predictive biological aging phenotype, EMRAge, that balances clinical biomarkers with overall mortality risk and can be broadly recapitulated across EMRs. We then applied elastic-net regression to model EMRAge with DNA-methylation (DNAm) and multiple omics, generating DNAmEMRAge and OMICmAge, respectively. Both biomarkers demonstrated strong associations with chronic diseases and mortality that outperform current biomarkers across our discovery (MGB-ABC, n=3,451) and validation TruDiagnostic, n=12,666) cohorts. Through the use of epigenetic biomarker proxies, OMICmAge has the unique advantage of expanding the predictive search space to include epigenomic, proteomic, metabolomic, and clinical data while distilling this in a measure with DNAm alone, providing opportunities to identify clinically-relevant interconnections central to the aging process

Population by Major Age Group: 1390 Census (2011)

Iran Population Data from http://irandataportal.syr.edu/populatio

Crossref Metadata - 1900 to 2017

This data contains the following fields: doi+'\t'+year+'\t'+citation count+'\t'+issnp+'\t'+issne+'\t'+journal+'\t'+pub+'\t'+lic+'\n' let me know if you need other fields ([email protected]

Population by Gender and Province: 1390 Census (2011)

Iran Population Data from http://irandataportal.syr.edu/populatio

Urban and Rural Population of each Province (1976-2011)

The difference between the aggregate numbers and sum of the items is because of the votes casted outside of Iran. The votes casted in Ardebil province before its introduction have been inserted in Azarbayjan-e-Sharghi province. The votes casted in Alborz province before its introduction have been inserted in Tehran province. The votes casted in Khorasan Jonoubi and Khorasan Shomali provinces before their introduction have been inserted in Khorasan Razavi province. The votes casted in Qazvin and Qom provinces before their introduction have been inserted in Tehran province. The votes casted in Golestan province before its introduction have been inserted in Mazandaran province

A Citation Analysis of the Basket of Eight IS Journals

A journal’s quality has always been an important factor for researchers when choosing where to publish their research. In 2007, the AIS College of Senior Scholars, consisted of senior information system academics, introduced the basket of eight journals as the top journals in Information Systems (IS) field, in order to “provide more consistency and meaningfulness to tenure and promotion casesâ€[1]. These eight journals are as follows: European Journal of Information Systems (EJIS), Information Systems Journal (ISJ), Information Systems Research (ISR), Journal of Association for Information Systems (JAIS), Journal of Information Technology (JIT), Journal of Management Information Systems (JMIS), Journal of Strategic Information Systems (JSIS), and MIS Quarterly (MISQ). \ \ In this study, we perform a systematic analysis of citation patterns among these eight journals. Using a large-scale dataset from Crossref (www.crossref.org) and Web of Science (www.webofknowledge.com), covering 4,899 articles published in the basket from 2000-2018, we have identified 55,798 references to other articles published in the basket. These citations are used to identify citation patterns across basket of eight journals, citation patterns’ changes over time, self-citation rate of journals, and their relation to these journals’ rankings

Predicting Hospital Patients Admission to Reduce Emergency Depar.pdf

Predicting Hospital Patients Admission to Reduce Emergency Depa

Information Systems Research Impact on Informing Policy

Identifying societal impact of academic research output has been of great interest to research communities, funding organizations, and public in general. In this study, we take the first step to explore the impact of academic research in Information Systems (IS) on informing policy. In particular, we empirically investigate how policy related documents cite scholarly work published in any one of the top eight IS journals recognized by Association of Information Systems (AIS) Senior Scholars\u27 Basket of Journals (basket of eight) \ \ Using a large-scale dataset from Crossref (www.crossref.org) and Web of Science (www.webofknowledge.com) for articles and Altmetric (www.altmetric.com) covering tens of thousands of policy documents, we identify more than 50 policy documents referring to articles published in one of the journals in the basket. This collection of policy documents and research articles are then used to answer basic but important questions about the nature of the relation between the two. For example, what policy document sources (publication outlets) cite IS publication most often? How long, on average, does it take for an IS publication to be cited by policy documents? In addition to the basic exploratory analysis, the authors manually classify the research articles, the policy documents, and the individual citations, based on different criteria, in order to provide a more in depth understanding of IS research impact on policy. The following four questions are answered using the manual classification. \ \ • What are the topics of policy documents citing IS research? Examples of such policy topics are healthcare policy, intellectual property policy, and trade policy. Similarly, what are the topics of the IS research articles being cited by the policy documents? • What types of policy changes the documents are intended for? Examples of such policy types are distributive, redistributive, regulatory and constituent (Lowi, 1972). \ \ • What are the types of the citation from policy documents to IS research? Citations could be, for example, simply reporting the cited document, or supporting a claim based on the cited research. A more detailed classification of citation types (Bornmann, 2013) are also considered. \ \ To the best of our knowledge, this study is the first work to empirically investigate how IS research is being cited by policy related documents. We hope that the findings help IS research community by demonstrating the impact of their work on informing policy