Upload data from WoS and Scopus databases.
## To cite bibliometrix in publications, please use:
##
## Aria, M. & Cuccurullo, C. (2017) bibliometrix: An R-tool for comprehensive science mapping analysis,
## Journal of Informetrics, 11(4), pp 959-975, Elsevier.
##
##
## https://www.bibliometrix.org
##
##
## For information and bug reports:
## - Send an email to info@bibliometrix.org
## - Write a post on https://github.com/massimoaria/bibliometrix/issues
##
## Help us to keep Bibliometrix free to download and use by contributing with a small donation to support our research team (https://bibliometrix.org/donate.html)
##
##
## To start with the shiny web-interface, please digit:
## biblioshiny()
##
## Converting your wos collection into a bibliographic dataframe
##
## Done!
##
##
## Generating affiliation field tag AU_UN from C1: Done!
##
## Converting your wos collection into a bibliographic dataframe
##
## Done!
##
##
## Generating affiliation field tag AU_UN from C1: Done!
##
## Converting your scopus collection into a bibliographic dataframe
##
## Done!
##
##
## Generating affiliation field tag AU_UN from C1: Done!
##
## Converting your scopus collection into a bibliographic dataframe
##
## Done!
##
##
## Generating affiliation field tag AU_UN from C1: Done!
##
## Converting your scopus collection into a bibliographic dataframe
##
## Done!
##
##
## Generating affiliation field tag AU_UN from C1: Done!
##
## 1220 duplicated documents have been removed
##
##
## MAIN INFORMATION ABOUT DATA
##
## Timespan 1975 : 2023
## Sources (Journals, Books, etc) 1783
## Documents 4614
## Annual Growth Rate % 0
## Document Average Age 3.48
## Average citations per doc 11.84
## Average citations per year per doc 2.451
## References 197561
##
## DOCUMENT TYPES
## article 2456
## article; book chapter 7
## article; early access 36
## article; proceedings paper 8
## book 19
## book chapter 100
## book review 1
## conference paper 965
## conference review 55
## correction 3
## correction; early access 1
## data paper 3
## editorial 130
## editorial material 53
## editorial material; book chapter 1
## erratum 19
## letter 59
## meeting abstract 38
## news item 1
## note 107
## reprint 1
## retracted 3
## review 532
## review; early access 4
## short survey 11
##
## DOCUMENT CONTENTS
## Keywords Plus (ID) 16729
## Author's Keywords (DE) 8269
##
## AUTHORS
## Authors 15956
## Author Appearances 23857
## Authors of single-authored docs 441
##
## AUTHORS COLLABORATION
## Single-authored docs 568
## Documents per Author 0.289
## Co-Authors per Doc 5.17
## International co-authorships % 9.666
##
##
## Annual Scientific Production
##
## Year Articles
## 1975 1
## 1978 1
## 1981 1
## 1982 2
## 1984 7
## 1985 3
## 1986 7
## 1987 14
## 1988 2
## 1989 6
## 1990 4
## 1991 2
## 1992 5
## 1993 6
## 1994 6
## 1995 3
## 1996 2
## 1997 4
## 1998 5
## 1999 2
## 2000 3
## 2001 8
## 2002 8
## 2003 8
## 2004 7
## 2005 11
## 2006 17
## 2007 17
## 2008 19
## 2009 28
## 2010 25
## 2011 34
## 2012 59
## 2013 67
## 2014 94
## 2015 101
## 2016 144
## 2017 222
## 2018 335
## 2019 549
## 2020 873
## 2021 1186
## 2022 674
## 2023 1
##
## Annual Percentage Growth Rate 0
##
##
## Most Productive Authors
##
## Authors Articles Authors Articles Fractionalized
## 1 NA N 77 NA N 77.00
## 2 ZHANG Y 49 ZHANG Y 9.95
## 3 WANG Y 43 KIM J 8.87
## 4 LIU Y 37 LIU Y 8.56
## 5 LI X 34 LI X 7.87
## 6 KIM J 31 WANG Y 6.71
## 7 LI J 31 LI Y 6.08
## 8 WANG J 31 BICHINDARITZ I 5.83
## 9 WANG X 27 CHEN X 5.83
## 10 KOUTSOULERIS N 26 KIM S 5.76
##
##
## Top manuscripts per citations
##
## Paper DOI TC TCperYear NTC
## 1 PENNEBAKER JW, 2003, ANNU REV PSYCHOL 10.1146/annurev.psych.54.101601.145041 1445 72.2 7.80
## 2 LIU S, 2020, LANCET PSYCHIATRY 10.1016/S2215-0366(20)30077-8 957 319.0 91.44
## 3 DE CHOUDHURY M, 2013, INT CONF WEBLOGS SOC MEDIA, ICWSM NA 824 82.4 21.79
## 4 LI SJ, 2020, INT J ENV RES PUB HE 10.3390/ijerph17062032 672 224.0 64.21
## 5 ORRÙ G, 2012, NEUROSCI BIOBEHAV REV 10.1016/j.neubiorev.2012.01.004 672 61.1 19.28
## 6 HUYS QJM, 2016, NAT NEUROSCI 10.1038/nn.4238 375 53.6 13.19
## 7 ZEMAN A, 2001, BRAIN 10.1093/brain/124.7.1263 371 16.9 4.33
## 8 MÜLLER KR, 2008, J NEUROSCI METHODS 10.1016/j.jneumeth.2007.09.022 332 22.1 9.49
## 9 BURNS MN, 2011, J MED INTERNET RES 10.2196/jmir.1838 331 27.6 9.07
## 10 TOROUS J, 2020, JMIR MENT HEAL 10.2196/18848 320 106.7 30.57
##
##
## Corresponding Author's Countries
##
## Country Articles Freq SCP MCP MCP_Ratio
## 1 USA 971 0.2784 878 93 0.0958
## 2 CHINA 385 0.1104 345 40 0.1039
## 3 UNITED KINGDOM 260 0.0745 210 50 0.1923
## 4 GERMANY 187 0.0536 152 35 0.1872
## 5 AUSTRALIA 184 0.0528 156 28 0.1522
## 6 INDIA 164 0.0470 158 6 0.0366
## 7 CANADA 155 0.0444 135 20 0.1290
## 8 KOREA 119 0.0341 109 10 0.0840
## 9 NETHERLANDS 97 0.0278 78 19 0.1959
## 10 FRANCE 96 0.0275 78 18 0.1875
##
##
## SCP: Single Country Publications
##
## MCP: Multiple Country Publications
##
##
## Total Citations per Country
##
## Country Total Citations Average Article Citations
## 1 USA 18220 18.764
## 2 UNITED KINGDOM 5007 19.258
## 3 GERMANY 3703 19.802
## 4 CHINA 3459 8.984
## 5 AUSTRALIA 2262 12.293
## 6 CANADA 1895 12.226
## 7 SWITZERLAND 1202 18.781
## 8 KOREA 1018 8.555
## 9 ITALY 986 11.600
## 10 NETHERLANDS 967 9.969
##
##
## Most Relevant Sources
##
## Sources
## 1 LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS)
## 2 FRONTIERS IN PSYCHIATRY
## 3 JOURNAL OF MEDICAL INTERNET RESEARCH
## 4 INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
## 5 ACM INTERNATIONAL CONFERENCE PROCEEDING SERIES
## 6 ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING
## 7 PLOS ONE
## 8 JMIR MENTAL HEALTH
## 9 JOURNAL OF AFFECTIVE DISORDERS
## 10 BIOLOGICAL PSYCHIATRY
## Articles
## 1 130
## 2 86
## 3 74
## 4 66
## 5 49
## 6 46
## 7 46
## 8 43
## 9 39
## 10 36
##
##
## Most Relevant Keywords
##
## Author Keywords (DE) Articles Keywords-Plus (ID) Articles
## 1 MACHINE LEARNING 1189 HUMAN 1793
## 2 MENTAL HEALTH 619 MACHINE LEARNING 1611
## 3 ARTIFICIAL INTELLIGENCE 419 HUMANS 1255
## 4 DEPRESSION 331 MENTAL HEALTH 1198
## 5 DATA MINING 183 ARTICLE 1014
## 6 NATURAL LANGUAGE PROCESSING 181 ARTIFICIAL INTELLIGENCE 1011
## 7 COVID-19 178 FEMALE 990
## 8 DEEP LEARNING 174 MENTAL DISEASE 958
## 9 PSYCHIATRY 155 MALE 950
## 10 SOCIAL MEDIA 152 ADULT 816
77 papers removed with NA N Authors
702 papers removed with PY 2022
fulldata_ <- subset(fulldata, AU!="NA N")
fulldata_ <- subset(fulldata_, PY!=2022 & PY!=2023)
results <- biblioAnalysis(fulldata_)
summary(results, k=10, pause=F, width=130)
##
##
## MAIN INFORMATION ABOUT DATA
##
## Timespan 1975 : 2021
## Sources (Journals, Books, etc) 1591
## Documents 3835
## Annual Growth Rate % 18.79
## Document Average Age 4.08
## Average citations per doc 14.16
## Average citations per year per doc 2.847
## References 168046
##
## DOCUMENT TYPES
## article 2034
## article; book chapter 7
## article; proceedings paper 8
## book 19
## book chapter 75
## book review 1
## conference paper 867
## correction 3
## data paper 2
## editorial 111
## editorial material 45
## editorial material; book chapter 1
## erratum 5
## letter 52
## meeting abstract 35
## note 94
## reprint 1
## retracted 3
## review 461
## short survey 10
##
## DOCUMENT CONTENTS
## Keywords Plus (ID) 15377
## Author's Keywords (DE) 7294
##
## AUTHORS
## Authors 13605
## Author Appearances 19675
## Authors of single-authored docs 394
##
## AUTHORS COLLABORATION
## Single-authored docs 435
## Documents per Author 0.282
## Co-Authors per Doc 5.13
## International co-authorships % 8.996
##
##
## Annual Scientific Production
##
## Year Articles
## 1975 1
## 1978 1
## 1981 1
## 1982 2
## 1984 6
## 1985 3
## 1986 7
## 1987 14
## 1988 2
## 1989 6
## 1990 4
## 1991 2
## 1992 5
## 1993 6
## 1994 6
## 1995 3
## 1996 2
## 1997 4
## 1998 4
## 1999 2
## 2000 3
## 2001 8
## 2002 8
## 2003 7
## 2004 7
## 2005 11
## 2006 17
## 2007 16
## 2008 19
## 2009 28
## 2010 24
## 2011 34
## 2012 59
## 2013 67
## 2014 93
## 2015 101
## 2016 141
## 2017 220
## 2018 328
## 2019 541
## 2020 858
## 2021 1164
##
## Annual Percentage Growth Rate 16.58728
##
##
## Most Productive Authors
##
## Authors Articles Authors Articles Fractionalized
## 1 ZHANG Y 44 KIM J 7.68
## 2 WANG Y 36 ZHANG Y 7.57
## 3 LIU Y 29 LIU Y 6.05
## 4 LI J 27 WANG Y 5.98
## 5 KIM J 25 BICHINDARITZ I 5.83
## 6 WANG J 25 LI X 5.74
## 7 LI X 24 OHAYON M 5.50
## 8 WANG X 24 LEE H 4.82
## 9 LIU X 23 MEYER-LINDENBERG A 4.69
## 10 WANG H 22 KIM S 4.60
##
##
## Top manuscripts per citations
##
## Paper DOI TC TCperYear NTC
## 1 PENNEBAKER JW, 2003, ANNU REV PSYCHOL 10.1146/annurev.psych.54.101601.145041 1445 72.2 6.82
## 2 LIU S, 2020, LANCET PSYCHIATRY 10.1016/S2215-0366(20)30077-8 957 319.0 89.88
## 3 DE CHOUDHURY M, 2013, INT CONF WEBLOGS SOC MEDIA, ICWSM NA 824 82.4 21.79
## 4 LI SJ, 2020, INT J ENV RES PUB HE 10.3390/ijerph17062032 672 224.0 63.11
## 5 ORRÙ G, 2012, NEUROSCI BIOBEHAV REV 10.1016/j.neubiorev.2012.01.004 672 61.1 19.28
## 6 HUYS QJM, 2016, NAT NEUROSCI 10.1038/nn.4238 375 53.6 12.91
## 7 ZEMAN A, 2001, BRAIN 10.1093/brain/124.7.1263 371 16.9 4.33
## 8 MÜLLER KR, 2008, J NEUROSCI METHODS 10.1016/j.jneumeth.2007.09.022 332 22.1 9.49
## 9 BURNS MN, 2011, J MED INTERNET RES 10.2196/jmir.1838 331 27.6 9.07
## 10 TOROUS J, 2020, JMIR MENT HEAL 10.2196/18848 320 106.7 30.05
##
##
## Corresponding Author's Countries
##
## Country Articles Freq SCP MCP MCP_Ratio
## 1 USA 853 0.2934 774 79 0.0926
## 2 CHINA 296 0.1018 265 31 0.1047
## 3 UNITED KINGDOM 225 0.0774 186 39 0.1733
## 4 GERMANY 165 0.0568 138 27 0.1636
## 5 AUSTRALIA 157 0.0540 137 20 0.1274
## 6 CANADA 130 0.0447 115 15 0.1154
## 7 INDIA 112 0.0385 109 3 0.0268
## 8 KOREA 96 0.0330 90 6 0.0625
## 9 FRANCE 86 0.0296 71 15 0.1744
## 10 NETHERLANDS 80 0.0275 65 15 0.1875
##
##
## SCP: Single Country Publications
##
## MCP: Multiple Country Publications
##
##
## Total Citations per Country
##
## Country Total Citations Average Article Citations
## 1 USA 18173 21.305
## 2 UNITED KINGDOM 4956 22.027
## 3 GERMANY 3693 22.382
## 4 CHINA 3443 11.632
## 5 AUSTRALIA 2240 14.268
## 6 CANADA 1880 14.462
## 7 SWITZERLAND 1193 23.392
## 8 KOREA 1015 10.573
## 9 ITALY 981 13.438
## 10 NETHERLANDS 963 12.037
##
##
## Most Relevant Sources
##
## Sources
## 1 LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS)
## 2 FRONTIERS IN PSYCHIATRY
## 3 JOURNAL OF MEDICAL INTERNET RESEARCH
## 4 INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
## 5 ACM INTERNATIONAL CONFERENCE PROCEEDING SERIES
## 6 ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING
## 7 PLOS ONE
## 8 JMIR MENTAL HEALTH
## 9 BIOLOGICAL PSYCHIATRY
## 10 JOURNAL OF AFFECTIVE DISORDERS
## Articles
## 1 109
## 2 70
## 3 66
## 4 52
## 5 43
## 6 40
## 7 39
## 8 38
## 9 32
## 10 32
##
##
## Most Relevant Keywords
##
## Author Keywords (DE) Articles Keywords-Plus (ID) Articles
## 1 MACHINE LEARNING 933 HUMAN 1590
## 2 MENTAL HEALTH 492 MACHINE LEARNING 1384
## 3 ARTIFICIAL INTELLIGENCE 323 HUMANS 1118
## 4 DEPRESSION 257 MENTAL HEALTH 1009
## 5 DATA MINING 167 ARTIFICIAL INTELLIGENCE 916
## 6 NATURAL LANGUAGE PROCESSING 138 ARTICLE 900
## 7 PSYCHIATRY 136 FEMALE 896
## 8 SOCIAL MEDIA 128 MALE 868
## 9 SCHIZOPHRENIA 126 MENTAL DISEASE 855
## 10 DEEP LEARNING 122 ADULT 733
plot(x=results, k=10, pause=F)
Outlier founded: 10.1146/annurev.psych.54.101601.145041
aggregate(TC ~ PY, data = fulldata, sum)
## PY TC
## 1 1975 1
## 2 1978 0
## 3 1981 3
## 4 1982 53
## 5 1984 42
## 6 1985 1
## 7 1986 77
## 8 1987 28
## 9 1988 37
## 10 1989 36
## 11 1990 4
## 12 1991 1
## 13 1992 94
## 14 1993 29
## 15 1994 59
## 16 1995 45
## 17 1996 3
## 18 1997 3
## 19 1998 27
## 20 1999 14
## 21 2000 55
## 22 2001 685
## 23 2002 144
## 24 2003 1483
## 25 2004 102
## 26 2005 127
## 27 2006 489
## 28 2007 671
## 29 2008 665
## 30 2009 1642
## 31 2010 721
## 32 2011 1241
## 33 2012 2056
## 34 2013 2534
## 35 2014 2620
## 36 2015 3412
## 37 2016 4095
## 38 2017 5057
## 39 2018 6248
## 40 2019 7153
## 41 2020 9137
## 42 2021 3431
## 43 2022 286
## 44 2023 0
aggregate(TC ~ PY, data = fulldata_, sum)
## PY TC
## 1 1975 1
## 2 1978 0
## 3 1981 3
## 4 1982 53
## 5 1984 42
## 6 1985 1
## 7 1986 77
## 8 1987 28
## 9 1988 37
## 10 1989 36
## 11 1990 4
## 12 1991 1
## 13 1992 94
## 14 1993 29
## 15 1994 59
## 16 1995 45
## 17 1996 3
## 18 1997 3
## 19 1998 27
## 20 1999 14
## 21 2000 55
## 22 2001 685
## 23 2002 144
## 24 2003 1483
## 25 2004 102
## 26 2005 127
## 27 2006 489
## 28 2007 671
## 29 2008 665
## 30 2009 1642
## 31 2010 721
## 32 2011 1241
## 33 2012 2056
## 34 2013 2534
## 35 2014 2620
## 36 2015 3412
## 37 2016 4095
## 38 2017 5056
## 39 2018 6240
## 40 2019 7151
## 41 2020 9136
## 42 2021 3431
fulldata_[fulldata_$PY == 2003,]$TI
## [1] "DOUBLE BIND SITUATIONS IN MANMACHINE INTERACTION UNDER CONTEXTS OF MENTAL THERAPY"
## [2] "PSYCHOLOGICAL ASPECTS OF NATURAL LANGUAGE USE OUR WORDS OUR SELVES"
## [3] "APPLICATION OF A DATAMINING METHOD BASED ON BAYESIAN NETWORKS TO LESIONDEFICIT ANALYSIS"
## [4] "LIFE AT THE BORDERS HABITS ADDICTIONS AND SELFCONTROL"
## [5] "USING AN ADAPTIVE FILTER TO EXTRACT THE HEMODYNAMIC RESPONSE FROM FMRI DATA"
## [6] "CURRENT SITUATIONS AND PROBLEMS OF SOFTWARE COUNSELING"
## [7] "ARCHETYPE THEORY EVOLUTIONARY PSYCHOLOGY AND THE BALDWIN EFFECT A COMMENTARY ON HOGENSONS PAPER OCTOBER 2001 JAP 46 4"
fulldata_[fulldata_$DI == "10.1146/annurev.psych.54.101601.145041" & fulldata_$PY==2003,]$TI
## [1] NA
## [2] "PSYCHOLOGICAL ASPECTS OF NATURAL LANGUAGE USE OUR WORDS OUR SELVES"
## [3] NA
REVIEW WITH 1445 cites: 10.1016/S1053-8119(03)00231-3
fulldata_out <- fulldata_[!(fulldata_$DI == "10.1146/annurev.psych.54.101601.145041" & fulldata_$PY==2003),]
results_out <- biblioAnalysis(fulldata_out)
summary(results_out, k=10, pause=F, width=130)
##
##
## MAIN INFORMATION ABOUT DATA
##
## Timespan 1975 : 2021
## Sources (Journals, Books, etc) 1588
## Documents 3834
## Annual Growth Rate % 18.79
## Document Average Age 4.07
## Average citations per doc 13.8
## Average citations per year per doc 2.83
## References 167892
##
## DOCUMENT TYPES
## article 2034
## article; book chapter 7
## article; proceedings paper 7
## book 19
## book chapter 75
## book review 1
## conference paper 866
## correction 3
## data paper 2
## editorial 111
## editorial material 45
## editorial material; book chapter 1
## erratum 5
## letter 52
## meeting abstract 35
## note 94
## reprint 1
## retracted 3
## review 460
## short survey 10
##
## DOCUMENT CONTENTS
## Keywords Plus (ID) 15367
## Author's Keywords (DE) 7289
##
## AUTHORS
## Authors 13597
## Author Appearances 19668
## Authors of single-authored docs 394
##
## AUTHORS COLLABORATION
## Single-authored docs 436
## Documents per Author 0.282
## Co-Authors per Doc 5.13
## International co-authorships % 8.998
##
##
## Annual Scientific Production
##
## Year Articles
## 1975 1
## 1978 1
## 1981 1
## 1982 2
## 1984 6
## 1985 3
## 1986 7
## 1987 14
## 1988 2
## 1989 6
## 1990 4
## 1991 2
## 1992 5
## 1993 6
## 1994 6
## 1995 3
## 1996 2
## 1997 4
## 1998 4
## 1999 2
## 2000 3
## 2001 8
## 2002 8
## 2003 4
## 2004 7
## 2005 11
## 2006 17
## 2007 16
## 2008 19
## 2009 28
## 2010 24
## 2011 34
## 2012 59
## 2013 67
## 2014 93
## 2015 101
## 2016 141
## 2017 220
## 2018 328
## 2019 541
## 2020 858
## 2021 1164
##
## Annual Percentage Growth Rate 16.58728
##
##
## Most Productive Authors
##
## Authors Articles Authors Articles Fractionalized
## 1 ZHANG Y 44 KIM J 7.68
## 2 WANG Y 36 ZHANG Y 7.57
## 3 LIU Y 29 LIU Y 6.05
## 4 LI J 27 WANG Y 5.98
## 5 KIM J 25 BICHINDARITZ I 5.83
## 6 WANG J 25 LI X 5.74
## 7 LI X 24 OHAYON M 5.50
## 8 WANG X 24 LEE H 4.82
## 9 LIU X 23 MEYER-LINDENBERG A 4.69
## 10 WANG H 22 KIM S 4.60
##
##
## Top manuscripts per citations
##
## Paper DOI TC TCperYear NTC
## 1 LIU S, 2020, LANCET PSYCHIATRY 10.1016/S2215-0366(20)30077-8 957 319.0 89.88
## 2 DE CHOUDHURY M, 2013, INT CONF WEBLOGS SOC MEDIA, ICWSM NA 824 82.4 21.79
## 3 LI SJ, 2020, INT J ENV RES PUB HE 10.3390/ijerph17062032 672 224.0 63.11
## 4 ORRÙ G, 2012, NEUROSCI BIOBEHAV REV 10.1016/j.neubiorev.2012.01.004 672 61.1 19.28
## 5 HUYS QJM, 2016, NAT NEUROSCI 10.1038/nn.4238 375 53.6 12.91
## 6 ZEMAN A, 2001, BRAIN 10.1093/brain/124.7.1263 371 16.9 4.33
## 7 MÜLLER KR, 2008, J NEUROSCI METHODS 10.1016/j.jneumeth.2007.09.022 332 22.1 9.49
## 8 BURNS MN, 2011, J MED INTERNET RES 10.2196/jmir.1838 331 27.6 9.07
## 9 TOROUS J, 2020, JMIR MENT HEAL 10.2196/18848 320 106.7 30.05
## 10 FRASER KC, 2015, J ALZHEIMER'S DIS 10.3233/JAD-150520 311 38.9 9.21
##
##
## Corresponding Author's Countries
##
## Country Articles Freq SCP MCP MCP_Ratio
## 1 USA 851 0.2930 772 79 0.0928
## 2 CHINA 296 0.1019 265 31 0.1047
## 3 UNITED KINGDOM 225 0.0775 186 39 0.1733
## 4 GERMANY 165 0.0568 138 27 0.1636
## 5 AUSTRALIA 157 0.0541 137 20 0.1274
## 6 CANADA 130 0.0448 115 15 0.1154
## 7 INDIA 112 0.0386 109 3 0.0268
## 8 KOREA 96 0.0331 90 6 0.0625
## 9 FRANCE 86 0.0296 71 15 0.1744
## 10 NETHERLANDS 80 0.0275 65 15 0.1875
##
##
## SCP: Single Country Publications
##
## MCP: Multiple Country Publications
##
##
## Total Citations per Country
##
## Country Total Citations Average Article Citations
## 1 USA 16728 19.657
## 2 UNITED KINGDOM 4956 22.027
## 3 GERMANY 3693 22.382
## 4 CHINA 3443 11.632
## 5 AUSTRALIA 2240 14.268
## 6 CANADA 1880 14.462
## 7 SWITZERLAND 1193 23.392
## 8 KOREA 1015 10.573
## 9 ITALY 981 13.438
## 10 NETHERLANDS 963 12.037
##
##
## Most Relevant Sources
##
## Sources
## 1 LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS)
## 2 FRONTIERS IN PSYCHIATRY
## 3 JOURNAL OF MEDICAL INTERNET RESEARCH
## 4 INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
## 5 ACM INTERNATIONAL CONFERENCE PROCEEDING SERIES
## 6 ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING
## 7 PLOS ONE
## 8 JMIR MENTAL HEALTH
## 9 BIOLOGICAL PSYCHIATRY
## 10 JOURNAL OF AFFECTIVE DISORDERS
## Articles
## 1 109
## 2 70
## 3 66
## 4 52
## 5 43
## 6 40
## 7 39
## 8 38
## 9 32
## 10 32
##
##
## Most Relevant Keywords
##
## Author Keywords (DE) Articles Keywords-Plus (ID) Articles
## 1 MACHINE LEARNING 933 HUMAN 1589
## 2 MENTAL HEALTH 492 MACHINE LEARNING 1384
## 3 ARTIFICIAL INTELLIGENCE 322 HUMANS 1117
## 4 DEPRESSION 257 MENTAL HEALTH 1007
## 5 DATA MINING 167 ARTIFICIAL INTELLIGENCE 914
## 6 NATURAL LANGUAGE PROCESSING 138 ARTICLE 900
## 7 PSYCHIATRY 136 FEMALE 896
## 8 SOCIAL MEDIA 128 MALE 868
## 9 SCHIZOPHRENIA 126 MENTAL DISEASE 855
## 10 DEEP LEARNING 122 ADULT 733
plot(x=results_out, k=10, pause=F)
CR <- citations(fulldata_, field = "article", sep = ";")
cbind(CR$Cited[1:20])
## [,1]
## BREIMAN L, 2001, MACH LEARN, V45, P5, DOI 10.1023/A:1010933404324 91
## BZDOK D, 2018, BIOL PSYCHIAT-COGN N, V3, P223, DOI 10.1016/J.BPSC.2017.11.007 56
## KROENKE K, 2001, J GEN INTERN MED, V16, P606, DOI 10.1046/J.1525-1497.2001.016009606.X 53
## PEDREGOSA F, 2011, J MACH LEARN RES, V12, P2825 51
## DWYER DB, 2018, ANNU REV CLIN PSYCHO, V14, P91, DOI 10.1146/ANNUREV-CLINPSY-032816045037, 10.1146/ANNUREV-CLINPSY-032816-045037 49
## INSEL T, 2010, AM J PSYCHIAT, V167, P748, DOI 10.1176/APPI.AJP.2010.09091379 44
## FITZPATRICK KK, 2017, JMIR MENT HEALTH, V4, DOI 10.2196/MENTAL.7785 43
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BR <- bradford(fulldata_)
BR$graph
NetMatrix <- biblioNetwork(fulldata_, analysis = "co-citation", network = "references", sep = ";")
net <- networkPlot(NetMatrix, n = 30, type = "circle", Title = "Collaboration",labelsize=0.7)