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Error on Sources, Authors, and Documents #487

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CamiloContrerasPhD opened this issue Oct 23, 2024 · 6 comments
Open

Error on Sources, Authors, and Documents #487

CamiloContrerasPhD opened this issue Oct 23, 2024 · 6 comments

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@CamiloContrerasPhD
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Trying to use Bibliometrix last days (Version= 4.3.0) , I'm having the following error on Bibtex Scopus and WoS

Sources: unused argument (list(NULL, "N. of Documents", "Sources", "xx[, x]", "Text", "xx[, x]", "xx[, y]", "-xx[, x]", "xx[, x]"))
Authors: unused argument (list(NULL, "N. of Documents", "Authors", "xx[, x]", "Text", "xx[, x]", "xx[, y]", "-xx[, x]", "xx[, x]"))
Documents: unused argument (list(NULL, "Global Citations", "Documents", "xx[, x]", "Text", "xx[, x]", "xx[, y]", "-xx[, x]", "xx[, x]"))

Thanks in advance!

@jialiang116
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i have the same question

@massimoaria
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Owner

Please
Upload your files.

Note: Support for bibtex files will be dropped soon.
In the latest versions of WoS and Scopus, bibtex files no longer include all the metadata needed for a complete science mapping analysis.
Our advice is to use the recommended formats (as shown biblioshiny info menu) namely plaintext for WoS and csv for Scopus.

@jialiang116
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savedrecs.txt
Thank you for your reply. The attachment is the file I used for analysis. In fact, I have exported WOS search results in both Bibliometric and plain text formats, and imported them into Bibliometric web pages for analysis. However, I encountered the same problem. So, how can I solve it? We look forward to your reply

@massimoaria
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Your file works fine.

Here are the code lines I used:

library(bibliometrix)
#> Please note that our software is open source and available for use, distributed under the MIT license.
#> When it is used in a publication, we ask that authors properly cite the following reference:
#> 
#> Aria, M. & Cuccurullo, C. (2017) bibliometrix: An R-tool for comprehensive science mapping analysis, 
#>                         Journal of Informetrics, 11(4), pp 959-975, Elsevier.
#> 
#> Failure to properly cite the software is considered a violation of the license.
#>                         
#> For information and bug reports:
#>                         - Take a look at https://www.bibliometrix.org
#>                         - Send an email to [email protected]   
#>                         - Write a post on https://github.com/massimoaria/bibliometrix/issues
#>                         
#> Help us to keep Bibliometrix and Biblioshiny 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 Biblioshiny app, please digit:
#> biblioshiny()

file="~/Downloads/savedrecs (1).txt"

M <- convert2df(file, dbsource="wos", format="plaintext")
#> 
#> Converting your wos collection into a bibliographic dataframe
#> 
#> Done!
#> 
#> 
#> Generating affiliation field tag AU_UN from C1:  Done!

summary(biblioAnalysis(M))
#> 
#> 
#> MAIN INFORMATION ABOUT DATA
#> 
#>  Timespan                              1981 : 2024 
#>  Sources (Journals, Books, etc)        462 
#>  Documents                             930 
#>  Annual Growth Rate %                  12.53 
#>  Document Average Age                  4.22 
#>  Average citations per doc             54.39 
#>  Average citations per year per doc    9.572 
#>  References                            64035 
#>  
#> DOCUMENT TYPES                     
#>  article                         550 
#>  article; book chapter           8 
#>  article; early access           13 
#>  article; proceedings paper      8 
#>  review                          343 
#>  review; book chapter            5 
#>  review; early access            3 
#>  
#> DOCUMENT CONTENTS
#>  Keywords Plus (ID)                    2980 
#>  Author's Keywords (DE)                2198 
#>  
#> AUTHORS
#>  Authors                               6190 
#>  Author Appearances                    7479 
#>  Authors of single-authored docs       50 
#>  
#> AUTHORS COLLABORATION
#>  Single-authored docs                  56 
#>  Documents per Author                  0.15 
#>  Co-Authors per Doc                    8.04 
#>  International co-authorships %        32.26 
#>  
#> 
#> Annual Scientific Production
#> 
#>  Year    Articles
#>     1981        1
#>     1989        2
#>     1990        1
#>     1992        2
#>     1993        1
#>     1995        2
#>     1996        2
#>     1998        1
#>     1999        2
#>     2000        2
#>     2001        3
#>     2002        1
#>     2004        2
#>     2005        4
#>     2006        6
#>     2007        4
#>     2008        5
#>     2009        8
#>     2010        6
#>     2011       12
#>     2012        6
#>     2013       12
#>     2014       15
#>     2015       14
#>     2016       35
#>     2017       27
#>     2018       49
#>     2019       55
#>     2020       86
#>     2021      109
#>     2022      137
#>     2023      158
#>     2024      160
#> 
#> Annual Percentage Growth Rate 12.53 
#> 
#> 
#> Most Productive Authors
#> 
#>    Authors        Articles  Authors        Articles Fractionalized
#> 1     THOMAS F          21 MORTEZAEE K                        5.83
#> 2     UJVARI B          16 GATENBY RA                         3.12
#> 3     WANG Y            12 UTHAMACUMARAN A                    3.00
#> 4     WANG J            11 THOMAS F                           2.99
#> 5     LIU C             10 MAJIDPOOR J                        2.83
#> 6     MORTEZAEE K       10 PIENTA KJ                          2.53
#> 7     PIENTA KJ          9 UJVARI B                           2.12
#> 8     ZHANG Y            9 GUTMANN DH                         2.10
#> 9     DUJON AM           8 ADLER FR                           2.08
#> 10    GIRAUDEAU M        8 PARRIS GE                          2.00
#> 
#> 
#> Top manuscripts per citations
#> 
#>                                      Paper                                   DOI   TC TCperYear   NTC
#> 1  PATEL AP, 2014, SCIENCE                          10.1126/science.1254257      3165     287.7  6.79
#> 2  NOY R, 2014, IMMUNITY                            10.1016/j.immuni.2014.06.010 2923     265.7  6.27
#> 3  TIROSH I, 2016, SCIENCE                          10.1126/science.aad0501      2828     314.2 16.66
#> 4  PURAM SV, 2017, CELL                             10.1016/j.cell.2017.10.044   1523     190.4 12.20
#> 5  MERLO LMF, 2006, NAT REV CANCER                  10.1038/nrc2013              1155      60.8  5.45
#> 6  LAMBRECHTS D, 2018, NAT MED                      10.1038/s41591-018-0096-5    1053     150.4 10.98
#> 7  MARTINEZ-OUTSCHOORN UE, 2017, NAT REV CLIN ONCOL 10.1038/nrclinonc.2016.60     982     122.8  7.87
#> 8  GAWAD C, 2016, NAT REV GENET                     10.1038/nrg.2015.16           935     103.9  5.51
#> 9  PITT JM, 2016, ANN ONCOL                         10.1093/annonc/mdw168         817      90.8  4.81
#> 10 DE VISSER KE, 2023, CANCER CELL                  10.1016/j.ccell.2023.02.016   781     390.5 43.87
#> 
#> 
#> Corresponding Author's Countries
#> 
#>           Country Articles   Freq SCP MCP MCP_Ratio
#> 1  USA                 265 0.2868 203  62     0.234
#> 2  CHINA               213 0.2305 175  38     0.178
#> 3  FRANCE               59 0.0639  27  32     0.542
#> 4  UNITED KINGDOM       37 0.0400  16  21     0.568
#> 5  AUSTRALIA            31 0.0335  10  21     0.677
#> 6  ITALY                31 0.0335  22   9     0.290
#> 7  SPAIN                31 0.0335  19  12     0.387
#> 8  CANADA               29 0.0314  16  13     0.448
#> 9  IRAN                 29 0.0314  23   6     0.207
#> 10 GERMANY              27 0.0292  11  16     0.593
#> 
#> 
#> SCP: Single Country Publications
#> 
#> MCP: Multiple Country Publications
#> 
#> 
#> Total Citations per Country
#> 
#>      Country      Total Citations Average Article Citations
#> 1  USA                      24818                     93.65
#> 2  CHINA                     6470                     30.38
#> 3  FRANCE                    2963                     50.22
#> 4  UNITED KINGDOM            2961                     80.03
#> 5  BELGIUM                   2127                    132.94
#> 6  AUSTRALIA                 1667                     53.77
#> 7  ITALY                     1117                     36.03
#> 8  SPAIN                     1031                     33.26
#> 9  CANADA                     997                     34.38
#> 10 NETHERLANDS                947                    135.29
#> 
#> 
#> Most Relevant Sources
#> 
#>                                 Sources        Articles
#> 1  CANCERS                                           36
#> 2  NATURE COMMUNICATIONS                             27
#> 3  FRONTIERS IN ONCOLOGY                             26
#> 4  FRONTIERS IN IMMUNOLOGY                           24
#> 5  INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES       17
#> 6  CANCER RESEARCH                                   10
#> 7  CELL                                              10
#> 8  EVOLUTIONARY APPLICATIONS                          9
#> 9  ADVANCED SCIENCE                                   8
#> 10 CANCER DISCOVERY                                   8
#> 
#> 
#> Most Relevant Keywords
#> 
#>     Author Keywords (DE)      Articles Keywords-Plus (ID)     Articles
#> 1  TUMOR MICROENVIRONMENT          103        EXPRESSION           125
#> 2  CANCER                           92        CANCER               105
#> 3  IMMUNOTHERAPY                    47        HETEROGENEITY         79
#> 4  BREAST CANCER                    34        BREAST-CANCER         71
#> 5  METASTASIS                       29        CELLS                 63
#> 6  HETEROGENEITY                    19        GROWTH                55
#> 7  COLORECTAL CANCER                18        RESISTANCE            55
#> 8  SINGLE-CELL RNA SEQUENCING       18        GENE-EXPRESSION       50
#> 9  TUMOR HETEROGENEITY              18        EVOLUTION             49
#> 10 TUMOR ECOSYSTEM                  17        LANDSCAPE             46

Created on 2024-12-09 with reprex v2.1.1

@jialiang116
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Thank you for your reply!!!!Actually, the code you replied to does work fine on R studio. However, when I use biblioshiny() to jump to the web page analysis, the "plot" page of the web module "source", "author" and "document" shows the error message, but the "table" page works normally. But the "plot" function of my colleague's computer works fine, why is that? Is there any solution? Looking forward to your reply! Error details file is attached.
details about bibliometric errors.docx

@massimoaria
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Try update all packages on your Rstudio environment

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