OpenAlex integration #404
Comments
|
Bibliometrix 4.1.4 (on GitHub) already supports openalex collections through the official package openalexR. We were the first to believe in the value of OpenAlex, and in fact we invested many resources in creating the official openalexR library (https://docs.ropensci.org/openalexR/) that links R to the OpenAlex API (https://docs.openalex.org/how-to-use-the-api/api-overview#client-libraries). here an example: library(openalexR)
#> Thank you for using openalexR!
#> To acknowledge our work, please cite the package by calling `citation("openalexR")`.
#> To suppress this message, add `openalexR.message = suppressed` to your .Renviron file.
works_search <- oa_fetch(
entity = "works",
title.search = c("bibliometric analysis", "science mapping"),
cited_by_count = ">50",
from_publication_date = "2020-01-01",
to_publication_date = "2021-12-31",
options = list(sort = "cited_by_count:desc"),
verbose = TRUE
)
#> Requesting url: https://api.openalex.org/works?filter=title.search%3Abibliometric%20analysis%7Cscience%20mapping%2Ccited_by_count%3A%3E50%2Cfrom_publication_date%3A2020-01-01%2Cto_publication_date%3A2021-12-31&sort=cited_by_count%3Adesc
#> Getting 1 page of results with a total of 144 records...
M <- oa2bibliometrix(works_search)
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 info@bibliometrix.org
#> - 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()
summary(biblioAnalysis(M))
#>
#>
#> MAIN INFORMATION ABOUT DATA
#>
#> Timespan 2020 : 2021
#> Sources (Journals, Books, etc) 100
#> Documents 144
#> Annual Growth Rate % -15.38
#> Document Average Age 2.54
#> Average citations per doc 105.8
#> Average citations per year per doc 30.47
#> References 10166
#>
#> DOCUMENT TYPES
#> article 144
#>
#> DOCUMENT CONTENTS
#> Keywords Plus (ID) 508
#> Author's Keywords (DE) 0
#>
#> AUTHORS
#> Authors 614
#> Author Appearances 674
#> Authors of single-authored docs 9
#>
#> AUTHORS COLLABORATION
#> Single-authored docs 11
#> Documents per Author 0.235
#> Co-Authors per Doc 4.68
#> International co-authorships % 50
#>
#>
#> Annual Scientific Production
#>
#> Year Articles
#> 2020 78
#> 2021 66
#>
#> Annual Percentage Growth Rate -15.38
#>
#>
#> Most Productive Authors
#>
#> Authors Articles Authors Articles Fractionalized
#> 1 SATISH KUMAR 9 WALEED M. SWEILEH 3.00
#> 2 NAVEEN DONTHU 5 SATISH KUMAR 2.35
#> 3 NITESH PANDEY 5 LENNART ANTE 1.33
#> 4 AMANDEEP DHIR 4 NAVEEN DONTHU 1.15
#> 5 DEBIDUTTA PATTNAIK 3 NITESH PANDEY 1.10
#> 6 WALEED M. SWEILEH 3 AMANDEEP DHIR 1.08
#> 7 WENG MARC LIM 3 AYYOOB SHARIFI 1.00
#> 8 XINXIN WANG 3 EMINE CAN‐GÜVEN 1.00
#> 9 XU ZHANG 3 FRANCISCO BENITA 1.00
#> 10 ABSALOM E. EZUGWU 2 HAMID DERVIŞ 1.00
#>
#>
#> Top manuscripts per citations
#>
#> Paper DOI TC TCperYear NTC
#> 1 NAVEEN DONTHU, 2021, JOURNAL OF BUSINESS RESEARCH 10.1016/j.jbusres.2021.04.070 2093 697.7 19.84
#> 2 SURABHI VERMA, 2020, JOURNAL OF BUSINESS RESEARCH 10.1016/j.jbusres.2020.06.057 503 125.8 4.74
#> 3 NAVEEN DONTHU, 2020, JOURNAL OF BUSINESS RESEARCH 10.1016/j.jbusres.2019.10.039 360 90.0 3.40
#> 4 KIRTI GOYAL, 2020, INTERNATIONAL JOURNAL OF CONSUMER STUDIES 10.1111/ijcs.12605 310 77.5 2.92
#> 5 JOSÉ A. MORAL-MUÑOZ, 2020, PROFESIONAL DE LA INFORMACION 10.3145/epi.2020.ene.03 308 77.0 2.90
#> 6 H. KENT BAKER, 2020, JOURNAL OF BUSINESS RESEARCH 10.1016/j.jbusres.2019.11.025 223 55.8 2.10
#> 7 YUETIAN YU, 2020, ANNALS OF TRANSLATIONAL MEDICINE 10.21037/atm-20-4235 220 55.0 2.07
#> 8 HUALIN XIE, 2020, LAND 10.3390/land9010028 203 50.8 1.91
#> 9 SONG XU, 2020, INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 10.1080/00207543.2020.1717011 192 48.0 1.81
#> 10 LIN ZHAO, 2020, PROCESS SAFETY AND ENVIRONMENTAL PROTECTION 10.1016/j.psep.2019.11.014 190 47.5 1.79
#>
#>
#> Corresponding Author's Countries
#>
#> Country Articles Freq SCP MCP MCP_Ratio
#> 1 CHINA 41 0.3154 21 20 0.488
#> 2 SPAIN 14 0.1077 11 3 0.214
#> 3 INDIA 10 0.0769 5 5 0.500
#> 4 ITALY 6 0.0462 3 3 0.500
#> 5 FINLAND 5 0.0385 1 4 0.800
#> 6 USA 5 0.0385 1 4 0.800
#> 7 GEORGIA 4 0.0308 0 4 1.000
#> 8 ECUADOR 3 0.0231 0 3 1.000
#> 9 SLOVENIA 3 0.0231 1 2 0.667
#> 10 SOUTH AFRICA 3 0.0231 1 2 0.667
#>
#>
#> SCP: Single Country Publications
#>
#> MCP: Multiple Country Publications
#>
#>
#> Total Citations per Country
#>
#> Country Total Citations Average Article Citations
#> 1 CHINA 3581 87.3
#> 2 GEORGIA 2652 663.0
#> 3 INDIA 1017 101.7
#> 4 SPAIN 958 68.4
#> 5 USA 656 131.2
#> 6 ITALY 525 87.5
#> 7 DENMARK 503 503.0
#> 8 FINLAND 409 81.8
#> 9 SLOVENIA 282 94.0
#> 10 ECUADOR 266 88.7
#>
#>
#> Most Relevant Sources
#>
#> Sources Articles
#> 1 JOURNAL OF BUSINESS RESEARCH 11
#> 2 SUSTAINABILITY 11
#> 3 JOURNAL OF CLEANER PRODUCTION 8
#> 4 ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 4
#> 5 TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE 4
#> 6 GLOBALIZATION AND HEALTH 3
#> 7 SAFETY SCIENCE 3
#> 8 ANNALS OF TRANSLATIONAL MEDICINE 2
#> 9 CHEMOSPHERE 2
#> 10 ECOLOGICAL INDICATORS 2Created on 2023-11-21 with reprex v2.0.2 For the time being, we have chosen not to integrate openalex formats into the convert2df() function because the explore.openalex.org website is still in beta and therefore the adopted formats are not yet final. Also, the collection downloaded with the API implemented in the openalexR library contains a more complete set of metadata than those exported through their website. Surely an integration into convert2df will be done in the near future. |
|
Trying to use Biblioshiny with OpenAlex data. In Biblioshiny we can import a file from openalexR, but there is no information on the format of this file. I have exported a json file from openalexR, but that file is not supported it seems (gives an error about a magic number or possibly corrupted file). What format do I need to export and how do I do this? |
|
Hi, Here an example: Then load the file "openalex_data.rdata" in Biblioshiny using the "load bibliometrix file" option in Data menu. |
|
Hi, The function convert2df now accepts dbsource="openalex" and format "csv" to import and convert OpenAlex csv files. |
Summary
Create a new function for convert2df (file, dbsource, format), where file = new file, dbsource=openalex, format=JSON / CSV, which convert openalex outputs to df for Bibliometrix.
Objectives
OpenAlex is the 2nd largest biblio database with 245 M records. It makes sense to integrate openalex with data visualization.
In the current library, there is a function convert2df(file, dbsource, format), which can convert export files downloaded from SCOPUS, Clarivate Analytics WOS, Digital Science Dimensions, PubMed or Cochrane CDSR website. OpenAlex output files can be JSON, Excel, CSV.
The text was updated successfully, but these errors were encountered: