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{"title"=>"Cocor: A comprehensive solution for the statistical comparison of correlations", "type"=>"journal", "authors"=>[{"first_name"=>"Birk", "last_name"=>"Diedenhofen", "scopus_author_id"=>"55748474300"}, {"first_name"=>"Jochen", "last_name"=>"Musch", "scopus_author_id"=>"7004044124"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84926443676", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "pui"=>"603600365", "issn"=>"19326203", "doi"=>"10.1371/journal.pone.0121945", "scopus"=>"2-s2.0-84926443676", "pmid"=>"25835001"}, "id"=>"e1c36835-62fc-357f-bc85-bfa88ba74a57", "abstract"=>"A valid comparison of the magnitude of two correlations requires researchers to directly contrast the correlations using an appropriate statistical test. In many popular statistics packages, however, tests for the significance of the difference between correlations are missing. To close this gap, we introduce cocor, a free software package for the R programming language. The cocor package covers a broad range of tests including the comparisons of independent and dependent correlations with either overlapping or nonoverlapping variables. The package also includes an implementation of Zou's confidence interval for all of these comparisons. The platform independent cocor package enhances the R statistical computing environment and is available for scripting. Two different graphical user interfaces-a plugin for RKWard and a web interface-make cocor a convenient and user-friendly tool.", "link"=>"http://www.mendeley.com/research/cocor-comprehensive-solution-statistical-comparison-correlations", "reader_count"=>153, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>7, "Researcher"=>33, "Student > Doctoral Student"=>15, "Student > Ph. D. Student"=>58, "Student > Postgraduate"=>3, "Student > Master"=>19, "Other"=>3, "Student > Bachelor"=>7, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>1, "Professor"=>6}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>7, "Researcher"=>33, "Student > Doctoral Student"=>15, "Student > Ph. D. Student"=>58, "Student > Postgraduate"=>3, "Student > Master"=>19, "Other"=>3, "Student > Bachelor"=>7, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>1, "Professor"=>6}, "reader_count_by_subject_area"=>{"Unspecified"=>20, "Agricultural and Biological Sciences"=>17, "Philosophy"=>1, "Business, Management and Accounting"=>1, "Chemistry"=>1, "Computer Science"=>4, "Earth and Planetary Sciences"=>1, "Economics, Econometrics and Finance"=>1, "Engineering"=>3, "Environmental Science"=>1, "Nursing and Health Professions"=>1, "Biochemistry, Genetics and Molecular Biology"=>1, "Mathematics"=>3, "Medicine and Dentistry"=>19, "Neuroscience"=>16, "Sports and Recreations"=>1, "Physics and Astronomy"=>2, "Psychology"=>54, "Social Sciences"=>2, "Linguistics"=>4}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>19}, "Social Sciences"=>{"Social Sciences"=>2}, "Sports and Recreations"=>{"Sports and Recreations"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>2}, "Psychology"=>{"Psychology"=>54}, "Mathematics"=>{"Mathematics"=>3}, "Unspecified"=>{"Unspecified"=>20}, "Environmental Science"=>{"Environmental Science"=>1}, "Engineering"=>{"Engineering"=>3}, "Chemistry"=>{"Chemistry"=>1}, "Neuroscience"=>{"Neuroscience"=>16}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>1}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>17}, "Computer Science"=>{"Computer Science"=>4}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Linguistics"=>{"Linguistics"=>4}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Philosophy"=>{"Philosophy"=>1}}, "reader_count_by_country"=>{"Netherlands"=>3, "Japan"=>3, "China"=>1, "Uzbekistan"=>1, "United Kingdom"=>1, "Italy"=>2, "Germany"=>4, "India"=>1}, "group_count"=>6}

ORCID

CrossRef

• http://doi.org/10.1016/j.anbehav.2019.03.008
• http://doi.org/10.1155/2017/8963267
• http://doi.org/10.1038/s41598-020-65086-x
• http://doi.org/10.1016/j.paid.2019.06.016
• http://doi.org/10.1016/j.psychres.2018.05.076
• http://doi.org/10.1016/j.resuscitation.2019.03.020
• http://doi.org/10.1016/j.lindif.2017.11.014
• http://doi.org/10.1007/s00421-020-04498-z
• http://doi.org/10.3389/fpsyg.2020.01566
• http://doi.org/10.1038/s41386-020-0661-8
• http://doi.org/10.1002/jts.22395
• http://doi.org/10.1111/1755-0998.12744
• http://doi.org/10.18632/oncotarget.21339
• http://doi.org/10.1016/j.jad.2017.11.027
• http://doi.org/10.4103/jpi.jpi_52_19
• http://doi.org/10.1002/jor.23879
• http://doi.org/10.1177/1046878119882710
• http://doi.org/10.1038/s41598-019-49103-2
• http://doi.org/10.1007/s00296-017-3898-8
• http://doi.org/10.1007/s11136-019-02218-5
• http://doi.org/10.1111/jbg.12249
• http://doi.org/10.1017/sjp.2016.69
• http://doi.org/10.1534/g3.117.300083
• http://doi.org/10.1002/hbm.24223
• http://doi.org/10.1002/hbm.23110
• http://doi.org/10.15252/embr.202050636
• http://doi.org/10.1016/j.knosys.2019.06.027
• http://doi.org/10.1111/psyp.13531
• http://doi.org/10.3389/fpsyg.2020.00912
• http://doi.org/10.1261/rna.072850.119
• http://doi.org/10.3389/fpsyg.2019.01682
• http://doi.org/10.7554/eLife.58468
• http://doi.org/10.1080/00224499.2020.1830018
• http://doi.org/10.1111/apa.14898
• http://doi.org/10.1088/1361-6579/aa8981
• http://doi.org/10.3390/ijgi8090400
• http://doi.org/10.1186/s12890-020-1106-1
• http://doi.org/10.3758/s13428-016-0761-x
• http://doi.org/10.1007/s10802-020-00655-2
• http://doi.org/10.3390/microorganisms8101489
• http://doi.org/10.3390/buildings8080094
• http://doi.org/10.1093/scan/nsx118
• http://doi.org/10.1111/acer.12886
• http://doi.org/10.3758/s13428-018-1029-4
• http://doi.org/10.3389/fpsyg.2019.00047
• http://doi.org/10.1016/j.neuropharm.2018.10.025
• http://doi.org/10.1007/s11881-020-00195-w
• http://doi.org/10.1016/j.obhdp.2020.02.005
• http://doi.org/10.1016/j.jad.2019.01.017
• http://doi.org/10.1038/s41592-019-0502-z
• http://doi.org/10.1016/j.biopsych.2019.07.023
• http://doi.org/10.1111/ggi.12835
• http://doi.org/10.1371/journal.pone.0229169
• http://doi.org/10.1016/j.addbeh.2020.106651
• http://doi.org/10.1016/j.pec.2017.01.013
• http://doi.org/10.1016/j.actpsy.2017.03.005
• http://doi.org/10.1016/j.jocrd.2017.10.006
• http://doi.org/10.1352/1944-7558-124.2.131
• http://doi.org/10.1016/j.neuroimage.2020.116892
• http://doi.org/10.1016/j.jpsychires.2020.07.040
• http://doi.org/10.1371/journal.pone.0234381
• http://doi.org/10.1371/journal.pbio.3000358
• http://doi.org/10.3390/jcm9103143
• http://doi.org/10.1093/bioinformatics/btw364
• http://doi.org/10.1088/1361-6560/abae08
• http://doi.org/10.1007/s11682-018-9993-y
• http://doi.org/10.1016/j.erap.2015.11.004
• http://doi.org/10.12688/f1000research.12121.1
• http://doi.org/10.1016/j.lindif.2018.03.008
• http://doi.org/10.1162/netn_a_00071
• http://doi.org/10.3389/fevo.2019.00409
• http://doi.org/10.3389/fpsyt.2020.00200
• http://doi.org/10.1097/CCM.0000000000002003
• http://doi.org/10.1111/ajpy.12197
• http://doi.org/10.1108/PR-02-2018-0054
• http://doi.org/10.1016/j.jad.2016.06.020
• http://doi.org/10.3389/fpsyg.2018.01279
• http://doi.org/10.1007/s40519-020-01012-4
• http://doi.org/10.1002/da.22833
• http://doi.org/10.1007/s10339-018-0867-4
• http://doi.org/10.1016/j.appet.2019.104383
• http://doi.org/10.3758/s13428-016-0800-7
• http://doi.org/10.1016/j.jbtep.2020.101610
• http://doi.org/10.1007/s10554-020-02082-2
• http://doi.org/10.1007/s10902-019-00114-w
• http://doi.org/10.1080/09658211.2017.1380835
• http://doi.org/10.7554/eLife.44837
• http://doi.org/10.1111/evo.13807
• http://doi.org/10.1080/13546783.2017.1378723
• http://doi.org/10.1016/j.archger.2016.12.007
• http://doi.org/10.1159/000488645
• http://doi.org/10.3390/nu9080892
• http://doi.org/10.1177/0023677218756457
• http://doi.org/10.3390/ijms21155560
• http://doi.org/10.1016/j.jsams.2018.08.008
• http://doi.org/10.1038/s41598-020-74170-1
• http://doi.org/10.1177/0093650218813655
• http://doi.org/10.1177/1073191119864642
• http://doi.org/10.1080/10926488.2020.1821203
• http://doi.org/10.1080/17470218.2017.1350867
• http://doi.org/10.1111/eff.12286
• http://doi.org/10.1002/hbm.24857
• http://doi.org/10.1038/s41467-018-07082-4
• http://doi.org/10.1002/aur.2159
• http://doi.org/10.1097/MAT.0000000000001058
• http://doi.org/10.1007/s10803-017-3109-1
• http://doi.org/10.1002/jcop.22366
• http://doi.org/10.1016/j.compag.2018.06.019
• http://doi.org/10.3892/mmr.2018.9190
• http://doi.org/10.1111/jopy.12428
• http://doi.org/10.1016/j.neuropsychologia.2018.01.019
• http://doi.org/10.1080/00220973.2018.1448748
• http://doi.org/10.3390/jcdd6030033
• http://doi.org/10.1007/s40593-017-0142-3
• http://doi.org/10.1111/ijjs.12117
• http://doi.org/10.3390/ijgi8070309
• http://doi.org/10.1080/13546805.2018.1495623
• http://doi.org/10.1016/j.jenvp.2020.101531
• http://doi.org/10.1038/s41598-017-03586-z
• http://doi.org/10.1016/j.jad.2019.03.063
• http://doi.org/10.1089/pop.2015.0101
• http://doi.org/10.1016/j.parkreldis.2016.11.015
• http://doi.org/10.5093/ejpalc2020a4
• http://doi.org/10.3102/1076998618788862
• http://doi.org/10.1016/j.jvs.2015.11.051
• http://doi.org/10.1038/s41598-020-68206-9
• http://doi.org/10.1038/s41598-019-53403-y
• http://doi.org/10.1080/02646838.2020.1836333
• http://doi.org/10.1097/PR9.0000000000000601
• http://doi.org/10.1016/j.csl.2020.101162
• http://doi.org/10.1007/s00221-020-05740-y
• http://doi.org/10.3389/fnhum.2020.574224
• http://doi.org/10.1111/pere.12246
• http://doi.org/10.1080/20445911.2019.1663354
• http://doi.org/10.3389/fnbeh.2019.00205
• http://doi.org/10.1016/j.jcin.2018.07.011
• http://doi.org/10.3758/s13414-020-02110-2
• http://doi.org/10.3390/cells9040833
• http://doi.org/10.1016/j.celrep.2017.02.009
• http://doi.org/10.1016/j.brs.2019.06.021
• http://doi.org/10.1016/j.neuropsychologia.2020.107457
• http://doi.org/10.1007/s10584-020-02739-w
• http://doi.org/10.1371/journal.pone.0140300
• http://doi.org/10.3389/fnhum.2020.00122
• http://doi.org/10.3758/s13423-016-1161-z
• http://doi.org/10.1016/j.dcn.2017.01.002
• http://doi.org/10.1016/j.jbtep.2016.08.018
• http://doi.org/10.1038/s41586-020-2056-8
• http://doi.org/10.37737/ace.1.3_102
• http://doi.org/10.1080/17451000.2016.1206940
• http://doi.org/10.1097/HJH.0000000000001152
• http://doi.org/10.1016/j.cognition.2019.01.018
• http://doi.org/10.1097/MD.0000000000009489
• http://doi.org/10.1016/j.dcn.2017.01.011
• http://doi.org/10.1016/j.biopsycho.2017.12.005
• http://doi.org/10.3389/fphys.2018.01359
• http://doi.org/10.1002/qj.3579
• http://doi.org/10.3389/fnins.2019.00052
• http://doi.org/10.3389/fpsyg.2019.02243
• http://doi.org/10.1007/s12652-020-01836-z
• http://doi.org/10.1002/jclp.22994
• http://doi.org/10.1017/S1352465817000455
• http://doi.org/10.1016/j.jsams.2019.08.014
• http://doi.org/10.1080/09658211.2019.1679837
• http://doi.org/10.1002/eat.22890
• http://doi.org/10.1016/j.cognition.2020.104329
• http://doi.org/10.1155/2019/4372580
• http://doi.org/10.1016/j.infbeh.2020.101501
• http://doi.org/10.1186/s13054-019-2569-4
• http://doi.org/10.1111/psyp.13632
• http://doi.org/10.1002/bdm.2213
• http://doi.org/10.1002/hbm.24566
• http://doi.org/10.1016/j.jrp.2019.103854
• http://doi.org/10.1007/s41542-020-00065-2
• http://doi.org/10.1038/s41598-019-53985-7
• http://doi.org/10.1177/0093854817730589
• http://doi.org/10.1371/journal.pone.0190393
• http://doi.org/10.1007/s40292-019-00346-0
• http://doi.org/10.1007/s10803-020-04748-1
• http://doi.org/10.1186/s12883-016-0742-9
• http://doi.org/10.1007/s00429-018-1810-2
• http://doi.org/10.1016/j.ijpsycho.2017.09.017
• http://doi.org/10.1016/j.ygcen.2018.11.008
• http://doi.org/10.4236/psych.2017.811121
• http://doi.org/10.1016/j.neurobiolaging.2020.08.012
• http://doi.org/10.1111/nph.13983
• http://doi.org/10.1080/23808985.2019.1614475
• http://doi.org/10.1152/jn.00098.2020
• http://doi.org/10.1016/j.jml.2017.05.005
• http://doi.org/10.1017/S014271641900050X
• http://doi.org/10.3389/fpsyg.2018.00830
• http://doi.org/10.1016/j.ijpsycho.2018.08.005
• http://doi.org/10.1371/journal.pbio.3000443
• http://doi.org/10.3389/fpsyg.2017.00855
• http://doi.org/10.1016/j.jrp.2016.12.005
• http://doi.org/10.3390/jcm9051499
• http://doi.org/10.1007/s12144-018-0017-2
• http://doi.org/10.1177/2325967116674714
• http://doi.org/10.1213/ANE.0000000000003449
• http://doi.org/10.1016/j.neuroimage.2016.04.040
• http://doi.org/10.1016/j.nlm.2020.107268
• http://doi.org/10.1167/iovs.18-26099
• http://doi.org/10.1111/ina.12759
• http://doi.org/10.1093/cercor/bhw104
• http://doi.org/10.3390/healthcare7010027
• http://doi.org/10.1080/02643294.2019.1593821
• http://doi.org/10.1111/cogs.12905
• http://doi.org/10.4054/DemRes.2017.36.59
• http://doi.org/10.1089/neu.2017.5584
• http://doi.org/10.1073/pnas.1905544116
• http://doi.org/10.1097/PR9.0000000000000617
• http://doi.org/10.1371/journal.pone.0190781
• http://doi.org/10.1038/s41598-018-35268-9
• http://doi.org/10.1016/j.appet.2017.05.015
• http://doi.org/10.1017/neu.2020.23
• http://doi.org/10.29014/ns.2018.14
• http://doi.org/10.1080/10503307.2020.1844920
• http://doi.org/10.1097/MD.0000000000002553
• http://doi.org/10.4092/jsre.27.2_51
• http://doi.org/10.1128/JVI.02084-18
• http://doi.org/10.1111/jon.12377
• http://doi.org/10.1128/mSystems.00777-19
• http://doi.org/10.1016/j.psychres.2018.03.062
• http://doi.org/10.1007/s10862-019-09736-z
• http://doi.org/10.3343/alm.2019.39.5.478
• http://doi.org/10.1016/j.scispo.2017.10.004
• http://doi.org/10.1016/j.jrp.2020.104033
• http://doi.org/10.1007/s10826-019-01625-z
• http://doi.org/10.3390/pathogens9110978
• http://doi.org/10.1038/s41598-017-10504-w
• http://doi.org/10.1177/0271678X16645593
• http://doi.org/10.1186/s12884-017-1459-5
• http://doi.org/10.1016/j.psyneuen.2019.04.009
• http://doi.org/10.1016/j.paid.2017.05.015
• http://doi.org/10.1016/j.jbi.2019.103211
• http://doi.org/10.1007/s12630-018-1093-3
• http://doi.org/10.1016/j.nicl.2018.101624
• http://doi.org/10.1073/pnas.1501384112
• http://doi.org/10.1016/j.resinv.2020.01.001
• http://doi.org/10.1177/2397002218763001
• http://doi.org/10.1111/ijsa.12252
• http://doi.org/10.1038/s41437-018-0137-3
• http://doi.org/10.1016/j.psychsport.2020.101663
• http://doi.org/10.1111/2041-210X.13521
• http://doi.org/10.1016/j.nicl.2017.12.015
• http://doi.org/10.1007/s00262-019-02385-x
• http://doi.org/10.1016/j.cub.2020.04.091
• http://doi.org/10.1007/s10067-018-4285-x
• http://doi.org/10.1099/mgen.0.000318
• http://doi.org/10.1007/s00429-017-1455-6
• http://doi.org/10.1080/13607863.2018.1479832
• http://doi.org/10.1016/j.neuroimage.2018.07.027
• http://doi.org/10.1177/2167702619863058
• http://doi.org/10.1016/j.schres.2017.08.024
• http://doi.org/10.1016/j.dcn.2019.100735
• http://doi.org/10.1038/s41562-019-0738-8
• http://doi.org/10.3390/jintelligence4030009
• http://doi.org/10.1016/j.biopsych.2018.09.010
• http://doi.org/10.3390/bs9040041
• http://doi.org/10.1002/hbm.25005
• http://doi.org/10.1080/10410236.2018.1434738
• http://doi.org/10.1002/hbm.24691
• http://doi.org/10.3389/fnagi.2018.00006
• http://doi.org/10.1080/00223891.2017.1406361
• http://doi.org/10.3758/s13415-018-0615-3
• http://doi.org/10.1212/WNL.0000000000006738
• http://doi.org/10.7554/eLife.45045
• http://doi.org/10.18632/aging.101069
• http://doi.org/10.1080/02646838.2017.1396302
• http://doi.org/10.1017/S0305000916000064
• http://doi.org/10.1016/j.iatssr.2019.10.001
• http://doi.org/10.3389/fnins.2019.00977
• http://doi.org/10.1080/16506073.2016.1143526
• http://doi.org/10.1080/10447318.2016.1160537
• http://doi.org/10.1016/j.neuroimage.2020.117193
• http://doi.org/10.1007/s11547-020-01243-6
• http://doi.org/10.1016/j.acra.2016.11.019
• http://doi.org/10.1111/ijsa.12163
• http://doi.org/10.1007/s12671-019-01235-2
• http://doi.org/10.1016/j.brs.2017.09.007
• http://doi.org/10.1002/brb3.1068
• http://doi.org/10.1016/j.neuroimage.2019.116015
• http://doi.org/10.1186/s12968-020-00613-3
• http://doi.org/10.1261/rna.075986.120
• http://doi.org/10.1016/j.humov.2018.05.008
• http://doi.org/10.3390/info11060323
• http://doi.org/10.1080/13803395.2015.1125453
• http://doi.org/10.1177/0271121416659054
• http://doi.org/10.1080/08957347.2017.1353987
• http://doi.org/10.1016/j.jbusres.2020.10.018
• http://doi.org/10.1007/s42058-020-00042-2
• http://doi.org/10.3390/brainsci10110775
• http://doi.org/10.3390/ijerph17197232
• http://doi.org/10.1016/j.gie.2019.11.031
• http://doi.org/10.1016/j.joi.2017.05.001
• http://doi.org/10.1088/1741-2552/aacbfe
• http://doi.org/10.1080/00222895.2020.1723482
• http://doi.org/10.1080/13670050.2019.1671307
• http://doi.org/10.1016/j.cortex.2017.09.020
• http://doi.org/10.1016/j.datak.2017.09.001
• http://doi.org/10.1007/s11113-018-9498-9
• http://doi.org/10.1016/j.freeradbiomed.2018.08.029
• http://doi.org/10.1016/j.cognition.2019.104114
• http://doi.org/10.3389/fnhum.2020.00238
• http://doi.org/10.1177/2374623817698113
• http://doi.org/10.1002/per.2159
• http://doi.org/10.1016/j.ophtha.2019.09.013
• http://doi.org/10.1155/2018/9493504
• http://doi.org/10.3402/ejpt.v6.28306
• http://doi.org/10.3390/f9070414
• http://doi.org/10.1001/jamaneurol.2018.2628
• http://doi.org/10.3389/fneur.2018.00468
• http://doi.org/10.1007/s11548-018-1843-2
• http://doi.org/10.1016/j.compmedimag.2020.101712
• http://doi.org/10.1111/1365-2656.13348
• http://doi.org/10.1002/alr.22580
• http://doi.org/10.1891/IJCBIRTH-D-20-00006
• http://doi.org/10.1016/j.paid.2017.02.014
• http://doi.org/10.1109/TNSRE.2019.2924742
• http://doi.org/10.1007/s00296-019-04376-8
• http://doi.org/10.1007/s00426-019-01162-w
• http://doi.org/10.3758/s13415-018-00672-1
• http://doi.org/10.1016/j.bpsc.2016.12.004
• http://doi.org/10.1002/ece3.6644
• http://doi.org/10.1038/s41598-019-46789-2
• http://doi.org/10.1002/jclp.22977
• http://doi.org/10.1080/0163853X.2020.1739600
• http://doi.org/10.1080/13546805.2020.1722084
• http://doi.org/10.3758/s13428-020-01444-x
• http://doi.org/10.1080/17522439.2018.1545861
• http://doi.org/10.1038/s41598-018-36793-3
• http://doi.org/10.1007/s10803-018-3516-y
• http://doi.org/10.1016/j.trf.2016.12.003
• http://doi.org/10.1016/j.nlm.2017.12.007
• http://doi.org/10.1016/j.cortex.2017.05.006
• http://doi.org/10.1111/ejn.13940
• http://doi.org/10.1080/00913847.2019.1693240
• http://doi.org/10.1016/j.cognition.2020.104201
• http://doi.org/10.3389/fnhum.2020.587763
• http://doi.org/10.3389/fnhum.2016.00295
• http://doi.org/10.1002/ejp.1442
• http://doi.org/10.1016/j.jvoice.2017.11.017
• http://doi.org/10.1080/00273171.2019.1691484
• http://doi.org/10.1007/s00221-017-5085-2
• http://doi.org/10.1038/s41467-020-17960-5
• http://doi.org/10.1002/acr.24089
• http://doi.org/10.1016/j.psychres.2018.11.073
• http://doi.org/10.1093/gerona/glx042
• http://doi.org/10.1002/hbm.24193
• http://doi.org/10.1016/j.schres.2020.04.018
• http://doi.org/10.1007/s00421-016-3332-z
• http://doi.org/10.3168/jds.2015-10433
• http://doi.org/10.1016/j.paid.2019.02.019
• http://doi.org/10.7554/eLife.39656
• http://doi.org/10.1097/COC.0000000000000555
• http://doi.org/10.1016/j.foreco.2017.04.034
• http://doi.org/10.3758/s13421-020-01098-2
• http://doi.org/10.1016/j.knee.2018.09.008
• http://doi.org/10.1159/000478520
• http://doi.org/10.1111/joop.12293
• http://doi.org/10.1016/j.ptsp.2020.01.005
• http://doi.org/10.3389/fpsyg.2020.01840
• http://doi.org/10.1016/j.kjms.2018.03.002
• http://doi.org/10.1016/j.actpsy.2019.102877
• http://doi.org/10.1016/j.jesp.2019.103817
• http://doi.org/10.1016/j.bbr.2017.08.024
• http://doi.org/10.3758/s13421-020-01086-6
• http://doi.org/10.1016/j.bandl.2020.104840
• http://doi.org/10.1016/j.ajo.2019.05.024
• http://doi.org/10.1160/TH16-03-0191
• http://doi.org/10.3389/fnhum.2018.00343
• http://doi.org/10.3390/ijms18112238
• http://doi.org/10.3233/JAD-190047
• http://doi.org/10.3390/jfb9010009
• http://doi.org/10.1177/0146167218818475
• http://doi.org/10.1080/10409289.2016.1210458
• http://doi.org/10.3928/01477447-20191122-04
• http://doi.org/10.1016/j.psychres.2018.08.068
• http://doi.org/10.1177/0894439318813586
• http://doi.org/10.1016/j.brs.2016.08.007
• http://doi.org/10.1016/j.cpr.2019.04.002
• http://doi.org/10.1016/j.neurobiolaging.2018.08.026
• http://doi.org/10.1111/geb.12372
• http://doi.org/10.1038/s41398-019-0376-y
• http://doi.org/10.1002/mus.27043
• http://doi.org/10.1016/j.dcn.2017.06.001
• http://doi.org/10.1148/radiol.2018180753
• http://doi.org/10.1136/bmjsem-2017-000288
• http://doi.org/10.1016/j.jaac.2016.01.007
• http://doi.org/10.1111/bcp.13007
• http://doi.org/10.1038/s41390-019-0699-7
• http://doi.org/10.3389/fnins.2019.01118
• http://doi.org/10.1080/15622975.2020.1755451
• http://doi.org/10.1016/j.trf.2019.01.007
• http://doi.org/10.1016/j.sleh.2018.07.003
• http://doi.org/10.1093/brain/awaa012

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• {"type"=>"COMMENT", "annotationUri"=>"info:doi/10.1371/annotation/44d084fe-0ee8-4d41-b2ba-7ca9fa53147e", "title"=>"Typographical error", "body"=>"We are grateful to a careful reader who spotted a typographical error in the pdf including supporting information to our article. In the three formulae 4, 32, and 51, there should be a plus sign in front of the square root instead of a minus sign (there is no such error in the main article, though).", "isRemoved"=>false, "created"=>"2015-04-10T08:03:10Z", "lastModified"=>"2015-04-10T08:03:10Z", "creator"=>{"userId"=>"472918"}, "highlightedText"=>"", "competingInterestStatement"=>{"creatorWasPrompted"=>true, "hasCompetingInterests"=>false}, "parentArticle"=>{"doi"=>"info:doi/10.1371/journal.pone.0121945", "state"=>"published", "journals"=>{"PLoSONE"=>{"journalKey"=>"PLoSONE", "eIssn"=>"1932-6203", "title"=>"PLOS ONE"}}}, "replyTreeSize"=>0, "mostRecentActivity"=>"2015-04-10T08:03:10Z", "replies"=>[]}
• {"type"=>"COMMENT", "annotationUri"=>"info:doi/10.1371/annotation/a1eaeb39-34db-4cee-b2d4-1a07d5e7fa07", "title"=>"Clarification of citation context", "body"=>"The authors present a useful and welcome set of research tools.\n\nIn addition, I agree with the authors that \"many introductory statistics textbooks [1–5] do not even mention significance tests for correlations.\" However, at least one of the cited works not only covers the topic but also includes a worked example (by hand) and R code to compute a difference in correlations (as well as discussing whether it is sensible to compare correlations - as in many cases it would be better to compare unstandardised regression coefficients): \n\nBaguley T. ''Serious Stats: A Guide to Advanced Statistics for the Behavioral Sciences''. Basingstoke, UK: Palgrave Macmillan, 2012.\n\nSee pp.224-225. Possibly the authors pointed to these five texts as exceptions to the general pattern.\n\nA related blog post included additional code and links to robust alternatives:\n\nhttps://seriousstats.wordpress.com/2012/02/05/comparing-correlations/\n\n", "isRemoved"=>false, "created"=>"2015-12-11T15:58:28Z", "lastModified"=>"2015-12-11T15:58:28Z", "creator"=>{"userId"=>"532001"}, "highlightedText"=>"", "competingInterestStatement"=>{"creatorWasPrompted"=>true, "hasCompetingInterests"=>true, "body"=>"I am the author of one of the cited books."}, "parentArticle"=>{"doi"=>"info:doi/10.1371/journal.pone.0121945", "state"=>"published", "journals"=>{"PLoSONE"=>{"journalKey"=>"PLoSONE", "eIssn"=>"1932-6203", "title"=>"PLOS ONE"}}}, "replyTreeSize"=>1, "mostRecentActivity"=>"2015-12-14T11:22:40Z", "replies"=>[{"type"=>"REPLY", "parentID"=>87725, "annotationUri"=>"info:doi/10.1371/reply/446aa02a-ed0d-4d7a-aa54-da81e9ee930b", "title"=>"RE: Clarification of citation context", "body"=>"I agree. Thomas Baguley's book is indeed a notable exception, and\nunlike many other statistics textbooks it provides a thorough discussion\nof significance tests for independent correlations. In the weblog\naccompanying the textbook, significance tests for dependent correlations\nare discussed as well. I can highly recommend his treatment of both\ntopics.", "isRemoved"=>false, "created"=>"2015-12-14T11:22:40Z", "lastModified"=>"2015-12-14T11:22:40Z", "creator"=>{"userId"=>"472918"}, "highlightedText"=>"", "competingInterestStatement"=>{"creatorWasPrompted"=>true, "hasCompetingInterests"=>true, "body"=>"I am an author of the article."}, "parentArticle"=>{"doi"=>"info:doi/10.1371/journal.pone.0121945", "state"=>"published", "journals"=>{"PLoSONE"=>{"journalKey"=>"PLoSONE", "eIssn"=>"1932-6203", "title"=>"PLOS ONE"}}}, "replyTreeSize"=>0, "mostRecentActivity"=>"2015-12-14T11:22:40Z", "replies"=>[]}]}

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• {"id"=>"624201313103032320", "text"=>"cocor: A comprehensive #Rstats package for the statistical comparison of correlations http://t.co/Kg4rdWh6NU http://t.co/z2ITu0Rpbe", "created_at"=>"2015-07-23T12:56:04Z", "user"=>"dsquintana", "user_name"=>"Dan Quintana", "user_profile_image"=>"http://pbs.twimg.com/profile_images/3541298285/afb9bd0cb147d7d749d59da99edcd194_normal.jpeg"}
• {"id"=>"657248435393974272", "text"=>"https://t.co/nsU39Zf9FQ https://t.co/vlejcWnFI6", "created_at"=>"2015-10-22T17:33:32Z", "user"=>"kaz_yos", "user_name"=>"Kazuki Yoshida", "user_profile_image"=>"http://pbs.twimg.com/profile_images/477901748745814017/bHcds8RM_normal.jpeg"}
• {"id"=>"724735117835554816", "text"=>"Anxious to know if 2 correlations are sig. different from one another? Here's your medicine: https://t.co/svoZNEWuLD #statistics #research", "created_at"=>"2016-04-25T23:01:31Z", "user"=>"go_crea", "user_name"=>"Gosia Goc?owska", "user_profile_image"=>"http://pbs.twimg.com/profile_images/651809428426108928/xz80rvhr_normal.jpg"}
• {"id"=>"833952395189219328", "text"=>"@robustgar @lakens @dan_marinazzo have you any experience with cocor https://t.co/BY2td5LcFS https://t.co/oElCOApQUj to compare correlations", "created_at"=>"2017-02-21T08:11:59Z", "user"=>"matteo_brainnet", "user_name"=>"Matteo Fraschini", "user_profile_image"=>"http://pbs.twimg.com/profile_images/818810069924147201/POpWTDI1_normal.jpg"}
• {"id"=>"939141100996046851", "text"=>"Pair it with this https://t.co/qP4mINLXLW (Solution for the Statistical Comparison of Correlations) to get a 2 hit… https://t.co/VfHzhBRm9S", "created_at"=>"2017-12-08T14:34:21Z", "user"=>"M_Kosilo", "user_name"=>"Maciej Kosi?o ??", "user_profile_image"=>"http://pbs.twimg.com/profile_images/830405102141919233/z2v0uu0K_normal.jpg"}

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• {"files"=>["https://ndownloader.figshare.com/files/2003687"], "description"=>"<p>Screenshot of the cocor web interface on <a href=\"http://comparingcorrelations.org\" target=\"_blank\">http://comparingcorrelations.org</a>.</p>", "links"=>[], "tags"=>["interface", "R programming language", "cocor package", "correlation"], "article_id"=>1366163, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Birk Diedenhofen", "Jochen Musch"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0121945.g003", "stats"=>{"downloads"=>3, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Screenshot_of_the_cocor_web_interface_on_http_comparingcorrelations_org_/1366163", "title"=>"Screenshot of the cocor web interface on http://comparingcorrelations.org.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-04-02 15:09:32"}

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Relative Metric

{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}

F1000Prime