Mendelian Randomisation and Causal Inference in Observational Epidemiology
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{"title"=>"Mendelian randomisation and causal inference in observational epidemiology", "type"=>"journal", "authors"=>[{"first_name"=>"Nuala A.", "last_name"=>"Sheehan", "scopus_author_id"=>"7006433812"}, {"first_name"=>"Vanessa", "last_name"=>"Didelez", "scopus_author_id"=>"6602292377"}, {"first_name"=>"Paul R.", "last_name"=>"Burton", "scopus_author_id"=>"7202230787"}, {"first_name"=>"Martin D.", "last_name"=>"Tobin", "scopus_author_id"=>"7202893448"}], "year"=>2008, "source"=>"PLoS Medicine", "identifiers"=>{"pui"=>"352273428", "issn"=>"15491277", "isbn"=>"1549-1676 (Electronic)", "doi"=>"10.1371/journal.pmed.0050177", "scopus"=>"2-s2.0-50949084462", "pmid"=>"18752343", "sgr"=>"50949084462"}, "id"=>"5ca32097-3fae-3e4e-a499-aea96f0b30e5", "abstract"=>"Nuala Sheehan and colleagues describe how Mendelian randomization provides an alternative way of dealing with the problems of observational studies, especially confounding.", "link"=>"http://www.mendeley.com/research/mendelian-randomisation-causal-inference-observational-epidemiology", "reader_count"=>197, "reader_count_by_academic_status"=>{"Unspecified"=>6, "Professor > Associate Professor"=>19, "Researcher"=>48, "Student > Doctoral Student"=>9, "Student > Ph. D. Student"=>49, "Student > Postgraduate"=>9, "Student > Master"=>19, "Other"=>7, "Student > Bachelor"=>7, "Lecturer"=>6, "Lecturer > Senior Lecturer"=>1, "Professor"=>17}, "reader_count_by_user_role"=>{"Unspecified"=>6, "Professor > Associate Professor"=>19, "Researcher"=>48, "Student > Doctoral Student"=>9, "Student > Ph. D. Student"=>49, "Student > Postgraduate"=>9, "Student > Master"=>19, "Other"=>7, "Student > Bachelor"=>7, "Lecturer"=>6, "Lecturer > Senior Lecturer"=>1, "Professor"=>17}, "reader_count_by_subject_area"=>{"Unspecified"=>13, "Agricultural and Biological Sciences"=>44, "Philosophy"=>1, "Business, Management and Accounting"=>1, "Computer Science"=>7, "Decision Sciences"=>1, "Economics, Econometrics and Finance"=>1, "Engineering"=>3, "Environmental Science"=>1, "Biochemistry, Genetics and Molecular Biology"=>8, "Nursing and Health Professions"=>2, "Mathematics"=>12, "Medicine and Dentistry"=>86, "Pharmacology, Toxicology and Pharmaceutical Science"=>1, "Sports and Recreations"=>1, "Psychology"=>6, "Social Sciences"=>7, "Immunology and Microbiology"=>1, "Neuroscience"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>86}, "Social Sciences"=>{"Social Sciences"=>7}, "Decision Sciences"=>{"Decision Sciences"=>1}, "Sports and Recreations"=>{"Sports and Recreations"=>1}, "Psychology"=>{"Psychology"=>6}, "Mathematics"=>{"Mathematics"=>12}, "Unspecified"=>{"Unspecified"=>13}, "Environmental Science"=>{"Environmental Science"=>1}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>1}, "Engineering"=>{"Engineering"=>3}, "Neuroscience"=>{"Neuroscience"=>1}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>44}, "Computer Science"=>{"Computer Science"=>7}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>2}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>8}, "Philosophy"=>{"Philosophy"=>1}}, "reader_count_by_country"=>{"Colombia"=>2, "United States"=>5, "United Kingdom"=>11, "Kenya"=>1, "Iceland"=>1, "New Zealand"=>1, "Greece"=>1, "Canada"=>1, "Belgium"=>1, "Finland"=>1, "Nigeria"=>2, "Australia"=>2, "Germany"=>2}, "group_count"=>4}

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Figshare

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  • {"unique-ip"=>"10", "full-text"=>"10", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"10"}

Relative Metric

{"start_date"=>"2008-01-01T00:00:00Z", "end_date"=>"2008-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Medicine and health sciences/Epidemiology", "average_usage"=>[354, 627, 801, 925, 1062, 1137, 1246, 1340, 1411, 1488, 1542, 1605, 1670, 1754, 1808, 1897, 1984, 2060, 2121, 2175, 2232, 2299, 2386, 2465, 2551, 2626, 2689, 2769, 2872, 2953, 3012, 3055, 3098, 3178, 3236, 3291, 3361, 3409, 3458, 3524, 3588, 3648, 3703, 3752, 3799, 3844, 3906, 3972, 4036, 4112, 4206, 4267, 4308, 4353, 4409, 4454, 4501, 4609, 4666, 4734, 4797, 4851, 4903, 4956, 4998, 5068, 5139, 5203, 5291, 5343, 5473, 5527, 5587]}, {"subject_area"=>"/Physical sciences", "average_usage"=>[316, 648, 828, 974, 1107, 1224, 1324, 1403, 1481, 1567, 1645, 1736, 1798, 1846, 1908, 1967, 2031, 2088, 2149, 2201, 2260, 2305, 2376, 2434, 2491, 2538, 2598, 2657, 2710, 2757, 2815, 2860, 2907, 2972, 3022, 3070, 3113, 3157, 3213, 3267, 3326, 3388, 3427, 3493, 3550, 3612, 3666, 3715, 3775, 3836, 3900, 3978, 4042, 4105, 4156, 4235, 4314, 4370, 4441, 4511, 4615, 4676, 4744, 4791, 4849, 4915, 4982, 5035, 5099, 5173, 5228, 5303, 5352]}, {"subject_area"=>"/Physical sciences/Mathematics", "average_usage"=>[363, 721, 930, 1104, 1255, 1348, 1433, 1534, 1606, 1669, 1762, 1803, 1875, 1942, 2013, 2068, 2149, 2213, 2280, 2351, 2390, 2439, 2507, 2579, 2644, 2680, 2723, 2786, 2845, 2899, 2943, 2969, 3021, 3084, 3131, 3180, 3220, 3244, 3268, 3333, 3370, 3438, 3491, 3529, 3575, 3618, 3677, 3718, 3807, 3851, 3957, 4082, 4144, 4197, 4231, 4279, 4340, 4383, 4461, 4505, 4555, 4643, 4686, 4771, 4827, 4886, 4932, 4997, 5051, 5123, 5188, 5243, 5314]}]}
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