Evolution of primary care databases in UK: a scientometric analysis of research output
暂无分享,去创建一个
[1] Ross J. Anderson,et al. The collection, linking and use of data in biomedical research and health care: ethical issues , 2015 .
[2] R. Tibshirani,et al. Increasing value and reducing waste in research design, conduct, and analysis , 2014, The Lancet.
[3] C. Schweiger. [Statins and the risk of dementia]. , 2001, Italian heart journal. Supplement : official journal of the Italian Federation of Cardiology.
[4] David Stables,et al. QRESEARCH: a new general practice database for research. , 2004, Informatics in primary care.
[5] Tao Zhang,et al. International collaboration to assess the risk of Guillain Barré Syndrome following Influenza A (H1N1) 2009 monovalent vaccines. , 2013, Vaccine.
[6] A. Barkun,et al. Use of gastric acid-suppressive agents and the risk of community-acquired Clostridium difficile-associated disease. , 2005, JAMA.
[7] Katie Brittain,et al. The effectiveness of collaborative care for people with memory problems in primary care: results of the CAREDEM case management modelling and feasibility study. , 2014, Health technology assessment.
[8] Daniel B. Shin,et al. Prevalence of cardiovascular risk factors in patients with psoriasis. , 2022, Central European journal of public health.
[9] F. Shahram,et al. Scientometric analysis and mapping of scientific articles on Behcet's disease , 2013, International journal of rheumatic diseases.
[10] Joy Adamson,et al. The opportunities and challenges of pragmatic point-of-care randomised trials using routinely collected electronic records: evaluations of two exemplar trials. , 2014, Health technology assessment.
[11] A. Bourke,et al. Feasibility study and methodology to create a quality-evaluated database of primary care data. , 2004, Informatics in primary care.
[12] J. Chisholm,et al. The Read clinical classification. , 1990, BMJ.
[13] D H Lawson,et al. The General Practice Research Database. Scientific and Ethical Advisory Group. , 1998, QJM : monthly journal of the Association of Physicians.
[14] R. Hubbard,et al. Risk of myocardial infarction and stroke after acute infection or vaccination. , 2004, The New England journal of medicine.
[15] Beth Simone Noveck,et al. The Open Data Era in Health and Social Care , 2014 .
[16] Daniel B. Shin,et al. Risk of myocardial infarction in patients with psoriasis. , 2006, JAMA.
[17] John P. A. Ioannidis,et al. Research: increasing value, reducing waste 2 , 2014 .
[18] Pierre Azoulay,et al. Does Science Advance One Funeral at a Time? , 2015, The American economic review.
[19] K. Bhaskaran,et al. Data Resource Profile: Clinical Practice Research Datalink (CPRD) , 2015, International journal of epidemiology.
[20] Liam Smeeth,et al. MMR vaccination and pervasive developmental disorders: a case-control study , 2004, The Lancet.
[21] N. Freemantle,et al. Making inferences on treatment effects from real world data: propensity scores, confounding by indication, and other perils for the unwary in observational research , 2013, BMJ.
[22] L. Wood,et al. The General Practice Research Database , 2004, Drug safety.
[23] M E J Newman,et al. Finding and evaluating community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[24] D. D. Des Jarlais,et al. HIV research productivity and structural factors associated with HIV research output in European Union countries: a bibliometric analysis , 2015, BMJ Open.
[25] Dipak Kalra,et al. Data Resource Profile: Cardiovascular disease research using linked bespoke studies and electronic health records (CALIBER) , 2012, International journal of epidemiology.
[26] A. Majeed,et al. A user's guide to data collected in primary care in England , 2006 .
[27] E. Speed,et al. Politics, Policy and Privatisation in the Everyday Experience of Big Data in the NHS , 2014 .
[28] H. Krumholz. Big data and new knowledge in medicine: the thinking, training, and tools needed for a learning health system. , 2014, Health affairs.
[29] L. Smeeth,et al. Pragmatic randomised trials using routine electronic health records: putting them to the test , 2012, BMJ : British Medical Journal.
[30] H. Jick,et al. Risk of idiopathic cardiovascular death and rionfatal venous thromboembolism in women using oral contraceptives with differing progestagen components , 1995, The Lancet.
[31] Ludo Waltman,et al. Visualizing Bibliometric Networks , 2014 .
[32] Brian Sauer,et al. Guidelines for good database selection and use in pharmacoepidemiology research , 2012, Pharmacoepidemiology and drug safety.
[33] Susan Clamp,et al. Centralised Electronic Health Records Research Across Health Organisation Types , 2013, BIOSTEC.
[34] C. Cooper,et al. Use of Inhaled Corticosteroids and Risk of Fractures , 2001, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[35] S. Hill,et al. Variability in risk of gastrointestinal complications with individual non-steroidal anti-inflammatory drugs: results of a collaborative meta-analysis , 1996, BMJ.
[36] Ludo Waltman,et al. Software survey: VOSviewer, a computer program for bibliometric mapping , 2009, Scientometrics.
[37] Stefan Voß,et al. A Scientometric Analysis of Cloud Computing Literature , 2014, IEEE Transactions on Cloud Computing.
[38] T. V. van Staa,et al. Recent advances in the utility and use of the General Practice Research Database as an example of a UK Primary Care Data resource , 2012, Therapeutic advances in drug safety.
[39] Richard Platt,et al. The U.S. Food and Drug Administration's Mini‐Sentinel program: status and direction , 2012, Pharmacoepidemiology and drug safety.
[40] R. Scoble,et al. Assessment, evaluations, and definitions of research impact: A review , 2014 .
[41] M. Jacomy,et al. ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software , 2014, PloS one.
[42] Mathieu Bastian,et al. Gephi: An Open Source Software for Exploring and Manipulating Networks , 2009, ICWSM.
[43] Martin Hand,et al. Big Data? Qualitative Approaches to Digital Research , 2014 .
[44] Michelle Dunn,et al. The National Institutes of Health's Big Data to Knowledge (BD2K) initiative: capitalizing on biomedical big data , 2014, J. Am. Medical Informatics Assoc..
[45] Yu-Xiao Yang,et al. Long-term proton pump inhibitor therapy and risk of hip fracture. , 2006, JAMA.
[46] E. Gale,et al. The influence of glucose-lowering therapies on cancer risk in type 2 diabetes , 2009, Diabetologia.
[47] T. Walley,et al. The UK General Practice Research Database , 1997, The Lancet.
[48] C. Cooper,et al. Use of Oral Corticosteroids and Risk of Fractures , 2005, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.