The bibliometric journey towards technological and social change: A review of current challenges and issues

Autores/as

DOI:

https://doi.org/10.3145/epi.2023.mar.28

Palabras clave:

Evaluative bibliometrics, Research evaluation, Peer review, Trends, Metrics, Scientific database, Bibliometric indicators, Evolution

Resumen

The current trends and challenges in the field of bibliometrics are reviewed. To do so, we take the reader along a bibliometric route with six stations: the explosion of databases, the inflation of metrics, its relationship to Data Science, searching for meaning, evaluative bibliometrics, and diversity and profession. This evaluation encompasses three dimensions of the bibliometrics field regarding research evaluation: the technological, the theoretical, and the social. Finally, we advocate for the principles of an evaluative bibliometrics, balancing the power of metrics with expert judgment and science policy.

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Alonso, Sergio; Cabrerizo, Francisco-Javier; Herrera-Viedma, Enrique; Herrera, Francisco (2009). "h-Index: A review focused in its variants, computation and standardization for different scientific fields". Journal of informetrics, v. 3, n. 4, pp. 273-289. https://doi.org/10.1016/j.joi.2009.04.001

Anderson, Chris (2008). "The end of theory: The data deluge makes the scientific method obsolete". Wired, 23 June. https://www.wired.com/2008/06/pb-theory

Aria, Massimo; Cuccurullo, Corrado (2017). "bibliometrix: An R-tool for comprehensive science mapping analysis". Journal of informetrics, v. 11, n. 4, pp. 959-975. https://doi.org/10.1016/j.joi.2017.08.007

Arroyo-Machado, Wenceslao; Torres-Salinas, Daniel; Costas, Rodrigo (2022). Wikipedia knowledge graph dataset [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6346900

Arroyo-Machado, Wenceslao; Torres-Salinas, Daniel; Herrera-Viedma, Enrique; Romero-Frí­as, Esteban (2020). "Science through Wikipedia: A novel representation of open knowledge through co-citation networks". Plos one, v. 15, n. 2, e0228713. https://doi.org/10.1371/journal.pone.0228713

Athar, Awais (2014). Sentiment analysis of scientific citations (UCAM-CL-TR-856). University of Cambridge, Computer Laboratory. https://doi.org/10.48456/tr-856

Banda, Juan M.; Tekumalla, Ramya; Wang, Guanyu; Yu, Jingyuan; Liu, Tuo; Ding, Yuning; Artemova, Katya; Tutubalina, Elena; Chowell, Gerardo (2022). A large-scale COVID-19 Twitter chatter dataset for open scientific research - An international collaboration [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7029821

Barré, Rémi (2019). "Les indicateurs sont morts, vive les indicateurs! Towards a political economy of S&T indicators: A critical overview of the past 35 years". Research evaluation, v. 28, n. 1, pp. 2-6. https://doi.org/10.1093/reseval/rvy029

Bastedo, Michael N.; Bowman, Nicholas A. (2010). "U.S. news & world report college rankings: Modeling institutional effects on organizational reputation". American journal of education, v. 116, n. 2, pp. 163-183. https://doi.org/10.1086/649437

Bell, Gordon; Hey, Tony; Szalay, Alex (2009). "Beyond the data deluge". Science, v. 323, n. 5919, pp. 1297-1298. https://doi.org/10.1126/science.1170411

Benedictus, Rinze; Miedema, Frank; Ferguson, Mark W. J. (2016). "Fewer numbers, better science". Nature, v. 538, n. 7626, pp. 453-455. https://doi.org/10.1038/538453a

Bérubé, Nicolas; Ghiasi, Gita; Sainte-Marie, Maxime; Larivière, Vincent (2020). Wiki-Gendersort: Automatic gender detection using first names in Wikipedia. SocArXiv. https://doi.org/10.31235/osf.io/ezw7p

Bjí¶rneborn, Lennart; Ingwersen, Peter (2001). "Perspective of webometrics". Scientometrics, v. 50, n. 1, pp. 65-82. https://doi.org/10.1023/A:1005642218907

Boekhout, Hanjo; Van-der-Weijden, Inge; Waltman, Ludo (2021). Gender differences in scientific careers: A large-scale bibliometric analysis. Arxiv. http://arxiv.org/abs/2106.12624

Bollen, Johan; Van-de-Sompel, Herbert; Smith, Joan A.; Luce, Rick (2005). "Toward alternative metrics of journal impact: A comparison of download and citation data". Information processing & management, v. 41, n. 6, pp. 1419-1440. https://doi.org/10.1016/j.ipm.2005.03.024

Bu, Yi; Waltman, Ludo; Huang, Yong (2021). "A multidimensional framework for characterizing the citation impact of scientific publications". Quantitative science studies, v. 2, n. 1, pp. 155-183. https://doi.org/10.1162/qss_a_00109

Cabezas-Clavijo, Álvaro; Torres-Salinas, Daniel (2021). "Bibliometric reports for institutions: Best practices in a responsible metrics scenario". Frontiers in research metrics and analytics, v. 6. https://doi.org/10.3389/frma.2021.696470

Clarivate Analytics (2018). InCites: Indicators Handbook. Clarivate. https://help.prod-incites.com/inCites2Live/8980-TRS/version/default/part/AttachmentData/data/InCites-Indicators-Handbook-6%2019.pdf

Costas, Rodrigo; Corona, Carmen; Robinson-Garcí­a, Nicolás (2022). Could ORCID play a key role in meta-research? Discussing new analytical possibilities to study the dynamics of science and scientists. SocArXiv. https://doi.org/10.31235/osf.io/sjck6

Cronin, Blaise (1984). The citation process: The role and significance of citations in scientific communication. London: Taylor Graham. ISBN: 0 947568 0 1 8

Cronin, Blaise (2013). "From signtometrics to scientometrics: A cautionary tale of our times". Journal of information science theory and practice, v. 1, n. 4, pp. 6-11. https://doi.org/10.1633/JISTaP.2013.1.4.1

Daraio, Cinzia; Lenzerini, Maurizio; Leporelli, Claudio; Moed, Henk F.; Naggar, Paolo; Bonaccorsi, Andrea; Bartolucci, Alessandro (2016). "Data integration for research and innovation policy: An ontology-based data management approach". Scientometrics, v. 106, n. 2, pp. 857-871. https://doi.org/10.1007/s11192-015-1814-0

De-Bellis, Nicola (2009). Bibliometrics and citation analysis: From the Science Citation Index to cybermetrics. Scarecrow Press. ISBN: 978 0 810867130

Delgado-López-Cózar, Emilio; Ràfols, Ismael; Abadal, Ernest (2021). "Letter: A call for a radical change in research evaluation in Spain". Profesional de la información, v. 30, n. 3, e300309. https://doi.org/10.3145/epi.2021.may.09

Egghe, Leo; Rousseau, Ronald (1990). Introduction to informetrics. Quantitative methods in library, documentation and information science. Elsevier Science Publishers. ISBN: 0 444 884939 http://eprints.rclis.org/6011

Elsevier (2019). Research metrics guidebook. Elsevier. https://www.elsevier.com/__data/assets/pdf_file/0020/53327/ELSV-13013-Elsevier-Research-Metrics-Book-r12-WEB.pdf

European Commission (2022). Reforming research assessment: The Agreement is now final. European Commission. Directorate-General for Research and Innovation. https://onx.la/e1aef

Garfield, Eugene (2004). "Historiographic mapping of knowledge domains literature". Journal of information science, v. 30, n. 2, pp. 119-145. https://doi.org/10.1177/0165551504042802

Gorraiz, Juan; Wieland, Martin; Ulrych, Ursula; Gumpenberger, Christian (2020). "De profundis: A decade of bibliometric services under scrutiny". In: Daraio, Cinzia; Glí¤nzel, Wolfgang (eds.). Evaluative informetrics: The art of metrics-based research assessment. Festschrift in Honour of Henk F. Moed. Cham: Springer, pp. 233-260. ISBN: 978 3 030 47665 6 https://doi.org/10.1007/978-3-030-47665-6_11

Gregorio-Chaviano, Orlando; Repiso, Rafael; Calderón-Rehecho, Antonio; León-Marí­n, Joaquí­n; Jiménez-Contreras, Evaristo (2021). "Dialnet Métricas como herramienta de evaluación bibliométrica: Aportes al análisis de la actividad cientí­fica en Ciencias Sociales y Humanidades". Profesional de la información, v. 30, n. 3, e300318. https://doi.org/10.3145/epi.2021.may.18

Grodzinski, Noah; Grodzinski, Ben; Davies, Benjamin M. (2021). "Can co-authorship networks be used to predict author research impact? A machine-learning based analysis within the field of degenerative cervical myelopathy research". Plos one, v. 16, n. 9, e0256997. https://doi.org/10.1371/journal.pone.0256997

Gumpenberger, Christian; Glí¤nzel, Wolfgang; Gorraiz, Juan (2016). "The ecstasy and the agony of the altmetric score". Scientometrics, v. 108, n. 2, pp. 977-982. https://doi.org/10.1007/s11192-016-1991-5

Haustein, Stefanie; Bowman, Timoty D.; Costas, Rodrigo (2016). "Interpreting "˜altmetrics´: viewing acts on social media through the lens of citation and social theories". In: Sugimoto, Cassidy R. (ed). Theories of informetrics and scholarly communication. De Gruyter, pp. 372-406. https://doi.org/10.1515/9783110308464

Herzog, Christian; Hook, Daniel; Konkiel, Stacy (2020). "Dimensions: Bringing down barriers between scientometricians and data". Quantitative science studies, v. 1, n. 1, pp. 387-395. https://doi.org/10.1162/qss_a_00020

Hicks, Diana; Wouters, Paul; Waltman, Ludo; De-Rijcke, Sarah; Ràfols, Ismael (2015). "The Leiden Manifesto for research metrics". Nature, v. 520, n. 7548, pp. 429-431. https://doi.org/10.1038/520429a

Jappe, Arlette (2020). "Professional standards in bibliometric research evaluation? A meta-evaluation of European assessment practice 2005-2019". Plos one, v. 15, n. 4, e0231735. https://doi.org/10.1371/journal.pone.0231735

Jefferson, Osmat-Azzam; Koellhofer, Deniz; Warren, Ben; Jefferson, Richard (2019). The Lens MetaRecord and LensID: An open identifier system for aggregated metadata and versioning of knowledge artefacts [Preprint]. LIS Scholarship Archive. https://doi.org/10.31229/osf.io/t56yh

Khan, Samiya; Liu, Xiufeng; Shakil, Kashish A.; Alam, Mansaf (2017). "A survey on scholarly data: From big data perspective". Information processing & management, v. 53, n. 4, pp. 923-944. https://doi.org/10.1016/j.ipm.2017.03.006

Kozlowski, Diego; Larivière, Vincent; Sugimoto, Cassidy R.; Monroe-White, Thema (2022). "Intersectional inequalities in science". Proceedings of the National Academy of Sciences, v. 119, n. 2, e2113067119. https://doi.org/10.1073/pnas.2113067119

Lammey, Rachael (2020). "Solutions for identification problems: A look at the Research Organization Registry". Science editing, v. 7, n. 1, pp. 65-69. https://doi.org/10.6087/kcse.192

Leydesdorff, Loet (1998). "Theories of citation?". Scientometrics, v. 43, n. 1, pp. 5-25. https://doi.org/10.1007/BF02458391

Leydesdorff, Loet (2009). "How are new citation-based journal indicators adding to the bibliometric toolbox?". Journal of the American Society for Information Science and Technology, v. 60, n. 7, pp. 1327-1336. https://doi.org/10.1002/asi.21024

Leydesdorff, Loet; Etzkowitz, Henry (1998). "Triple Helix of innovation: Introduction". Science and public policy, v. 25, n. 6, pp. 358-364. https://www.leydesdorff.net/spp98

Ma, Anqi; Liu, Yu; Xu, Xiujuan; Dong, Tao (2021). "A deep-learning based citation count prediction model with paper metadata semantic features". Scientometrics, v. 126, n. 8, pp. 6803-6823. https://doi.org/10.1007/s11192-021-04033-7

Mateo, Ferrán (2015). "Producción cientí­fica en español en Humanidades y Ciencias Sociales. Algunas propuestas desde Dialnet". El profesional de la información, v. 24, n. 5, pp. 509-516. https://doi.org/10.3145/epi.2015.sep.01

Moed, Henk F. (2017). Applied evaluative informetrics. Springer International Publishing. ISBN: 978 3 319 60522 7 https://doi.org/10.1007/978-3-319-60522-7

Moed, Henk F.; Burger, W. J. M.; Frankfort, J. G.; Van-Raan, Anthony F. J. (1985). "The use of bibliometric data for the measurement of university research performance". Research policy, v. 14, n. 3, pp. 131-149. https://doi.org/10.1016/0048-7333(85)90012-5

Moher, David; Bouter, Lex; Kleinert, Sabine; Glasziou, Paul; Sham, Mai Har; Barbour, Virginia; Coriat, Anne-Marie; Foeger, Nicole; Dirnagl, Ulrich (2020). "The Hong Kong Principles for assessing researchers: Fostering research integrity". Plos biology, v. 18, n. 7, e3000737. https://doi.org/10.1371/journal.pbio.3000737

Orduña-Malea, Enrique; Martí­n-Martí­n, Alberto; Ayllón, Juan M.; Delgado-López-Cózar, Emilio (2016). La revolución Google Scholar: Destapando la caja de Pandora académica. Universidad de Granada. ISBN: 978 84 338 5985 3

Ortega y Gasset, José (2005). Misión del bibliotecario. Edición conmemorativa del 50 aniversario luctuoso del autor y de la celabración de la Dí­a Nacional del Bibliotecario. Consejo Nacional para la Cultura y las Artes.

Pardo-Guerra, Juan-Pablo (2022). The quantified scholar: How research evaluations transformed the British social sciences. Columbia University Press. ISBN: 978 0 231197809

Priem, Jason; Piwowar, Heather; Orr, Richard (2022). OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and concepts (arXiv:2205.01833). arXiv. http://arxiv.org/abs/2205.01833

Priem, Jason; Taraborelli, Dario; Groth, Paul; Neylon, Cameron (2010). Altmetrics: A manifesto - altmetrics.org. http://altmetrics.org/manifesto

Ràfols, Ismael; Molas-Gallart, Jordi; Chavarro, Diego-Andrés; Robinson-Garcí­a, Nicolás (2016). On the dominance of quantitative evaluation in "˜peripheral´ countries: Auditing research with technologies of distance (SSRN Scholarly paper No 2818335). https://doi.org/10.2139/ssrn.2818335

Ràfols, Ismael; Stirling, Andy (2021). "Designing indicators for opening up evaluation: insights form research assessment". In: Dahler-Larsen, Peter. A research agenda for evaluation. Edward Elgar, pp. 165-193. https://doi.org/10.4337/9781839101083.00015

Robinson-Garcí­a, Nicolás; Amat, Carlos-Benito (2018). "¿Tiene sentido limitar la coautorí­a cientí­fica? No existe inflación de autores en Ciencias Sociales y Educación en España". Revista española de documentación cientí­fica, v. 41, n. 2, e201. https://doi.org/10.3989/redc.2018.2.1499

Robinson-Garcí­a, Nicolás; Costas, Rodrigo; Sugimoto, Cassidy R.; Larivière, Vincent; Nane, Gabriela F. (2020). "Task specialization across research careers". eLife, v. 9, e60586. https://doi.org/10.7554/eLife.60586

Robinson-Garcí­a, Nicolás; Jiménez-Contreras, Evaristo; Torres-Salinas, Daniel (2016). "Analyzing data citation practices using the data citation index". Journal of the Association for Information Science and Technology, v. 67, n. 12, pp. 2964-2975. https://doi.org/10.1002/asi.23529

Robinson-Garcí­a, Nicolás; Ràfols, Ismael (2020). "The differing meanings of indicators under different policy contexts. The case of internationalisation". In: Daraio, Cinzia; Glí¤nzel, Wolfgang (eds.). Evaluative informetrics: The art of metrics-based research assessment: Festschrift in honour of Henk F. Moed. Springer, pp. 213-232. https://doi.org/10.1007/978-3-030-47665-6_10

Robinson-Garcí­a, Nicolás; Repiso, Rafael; Torres-Salinas, Daniel (2018). "Perspectiva y retos de los profesionales de la evaluación cientí­fica y la bibliometrí­a". El profesional de la información, v. 27, n. 3, pp. 461-466. https://doi.org/10.3145/epi.2018.may.01

Robinson-Garcí­a, Nicolás; Sugimoto, Cassidy R.; Murray, Dakota; Yegros-Yegros, Alfredo; Larivière, Vincent; Costas, Rodrigo (2019). "The many faces of mobility: Using bibliometric data to measure the movement of scientists". Journal of informetrics, v. 13, n. 1, pp. 50-63. https://doi.org/10.1016/j.joi.2018.11.002

Robinson-Garcí­a, Nicolás; Torres-Salinas, Daniel; Zahedi, Zohreh; Costas, Rodrigo (2014). "New data, new possibilities: Exploring the insides of Altmetric.com". El profesional de la información, v. 23, n. 4. http://doi.org/10.3145/epi.2014.jul.03

Rose, Michael E.; Kitchin, John, R. (2019). "Pybliometrics: Scriptable bibliometrics using a Python interface to Scopus". SoftwareX, v. 10, 100163. https://doi.org/10.1016/j.softx.2019.100263

Saier, Tarek; Fí¤rber, Michael; Tsereteli, Tornike (2022). "Cross-lingual citations in English papers: A large-scale analysis of prevalence, usage, and impact". International journal on digital libraries, v. 23, n. 2, pp. 179-195. https://doi.org/10.1007/s00799-021-00312-z

Saltelli, Andrea; Bammer, Gabriele; Bruno, Isabelle; Charters, Erica; Di-Fiore, Monica; Didier, Emmanuel; Espeland, Wendy-Nelson; Kay, John; Lo-Piano, Samuele; Mayo, Deborah; Pielke Jr., Roger; Portaluri, Tommaso; Porter, Theodore M.; Puy, Arnald; Ràfols, Ismael; Ravetz, Jerome R.; Reinert, Erik; Sarewitz, Daniel; Stark, Philip B.; Stirling, Andrew; Van-der-Sluijs, Jeroen; Vineis, Paolo (2020). "Five ways to ensure that models serve society: a manifesto". Nature, v. 582, pp. 482-484. https://doi.org/10.1038/d41586-020-01812-9

Small, Henry (2006). "Tracking and predicting growth areas in science". Scientometrics, v. 68, pp. 595-610. https://doi.org/10.1007/s11192-006-0132-y

Small, Henry; Sweeney, Ed; Greenlee, Edward (1985). "Clustering the science citation index using co-citations. II. Mapping science". Scientometrics, v. 8, n. 5, pp. 321-340. https://doi.org/10.1007/BF02018057

Sugimoto, Cassidy R.; Larivière, Vincent (2018). Measuring research: What everyone needs to know. Oxford University Press. ISBN: 978 0 190640125

Szomszor, Martin; Adie, Euan (2022). "Overton: A bibliometric database of policy document citations". Quantitative science studies, v. 3, n. 3, pp. 624-650. https://doi.org/10.1162/qss_a_00204

Tahamtan, Iman; Bornmann, Lutz (2022). "The social systems citation theory (SSCT): A proposal to use the social systems theory for conceptualizing publications and their citations links". Profesional de la información, v. 31, n. 4, e310411. https://doi.org/10.3145/epi.2022.jul.11

Tekles, Alexander; Bornmann, Lutz (2020). "Author name disambiguation of bibliometric data: A comparison of several unsupervised approaches". Quantitative science studies, v. 1, n. 4, pp. 1510-1528. https://doi.org/10.1162/qss_a_00081

Torres-Salinas, Daniel (2022a). "InfluScience2: Disponible la nueva versión de nuestra plataforma altmétrica". InfluScience. https://influscience.eu/novedades/influscience2-disponible-la-nueva-version-de-nuestra-plataforma-altmetrica

Torres-Salinas, Daniel (2022b). "1985: Cinco lecciones inmortales de Moed para bibliómetras profesionales". Anuario ThinkEPI, v. 16, e16a14. https://doi.org/10.3145/thinkepi.2022.e16a14

Torres-Salinas, Daniel; Arroyo-Machado, Wenceslao (2022a). Material complementario de "˜Nuevas formas de trabajar con la información cientí­fica: Introducción al uso de las APIs en contextos bibliométricos´. https://doi.org/10.5281/zenodo.6323589

Torres-Salinas, Daniel; Arroyo-Machado, Wenceslao (2022b). "APIs en contextos bibliométricos: Introducción básica y corpus exhaustivo". Anuario ThinkEPI, v. 16. https://doi.org/10.3145/thinkepi.2022.e16a09

Torres-Salinas, Daniel; González-Molina, Antonio (2019). A modo de acta: "II Reunión de los Servicios de Evaluación Cientí­fica" en la Universidad de Córdoba. https://doi.org/10.5281/zenodo.2557725

Torres-Salinas, Daniel; Jiménez-Contreras, Evaristo (2012). "Hacia las unidades de bibliometrí­a en las universidades: modelo y funciones". Revista española de documentación cientí­fica, v. 35, n. 3, pp. 469-480. https://doi.org/10.3989/redc.2012.3.959

Torres-Salinas, Daniel; Robinson-Garcí­a, Nicolás; Jiménez-Contreras, Evaristo; Delgado-López-Cózar, Emilio (2012). "Towards a "Book Publishers Citation Reports". First approach using the "˜Book Citation Index´". Revista española de documentación cientí­fica, v. 35, n. 4, pp. 615-624. https://doi.org/10.3989/redc.2012.4.1010

Torres-Salinas, Daniel; Robinson-Garcí­a, Nicolás; Herrera-Viedma, Enrique; Jiménez-Contreras, Evaristo (2018). "Consideraciones metodológicas sobre uso del impacto normalizado en convocatorias Severo Ochoa y Marí­a de Maetzu". El profesional de la información, v. 27, n. 2, pp. 367-374. https://doi.org/10.3145/epi.2018.mar.15

Torres-Salinas, Daniel; Valderrama-Baca, Pilar; Arroyo-Machado, Wenceslao (2022). "Is there a need for a new journal metric? Correlations between JCR Impact Factor metrics and the Journal Citation Indicator - JCI". Journal of informetrics, v. 16, n. 3, 101315. https://doi.org/10.1016/j.joi.2022.101315

Van-Eck, Nees-Jan; Waltman, Ludo (2017). "Citation-based clustering of publications using CitNetExplorer and VOSviewer". Scientometrics, v. 111, pp. 1053-1070. https://doi.org/10.1007/s11192-017-2300-7

Visser, Martijn; Van-Eck, Nees-Jan; Waltman, Ludo (2021). "Large-scale comparison of bibliographic data sources: Scopus, Web of Science, Dimensions, Crossref, and Microsoft Academic". Quantitative science studies, v. 2, n. 1, pp. 20-41. https://doi.org/10.1162/qss_a_00112

Wang, Yuzhuo; Zhang, Chengzhi; Li, Kai (2022). "A review on method entities in the academic literature: Extraction, evaluation, and application". Scientometrics, v. 127, n. 5, 2479-2520. https://doi.org/10.1007/s11192-022-04332-7

Wildgaard, Lorna; Schneider, Jesper W.; Larsen, Birger (2014). "A review of the characteristics of 108 author-level bibliometric indicators". Scientometrics, v. 101, n. 1, pp. 125-158. https://doi.org/10.1007/s11192-014-1423-3

Wilsdon, James (2018). "Has the tide turned towards responsible metrics in research?". The Guardian, July 10. https://www.theguardian.com/science/political-science/2018/jul/10/has-the-tide-turned-towards-responsible-metrics-in-research

Wilsdon, James; Allen, Liz; Belfiore, Eleonora; Campbell, Philip; Curry, Stephen; Hill, Steven; Jones, Richard; Kain, Roger; Kerridge, Simon; Thelwall, Mike; Tinkler, Jane; Viney, Ian; Wouters, Paul; Hill, Jude; Johnson, Ben (2015). The metric tide: Report of the independent review of the role of metrics in research assessment and management. HEFCE. http://doi.org/10.13140/RG.2.1.4929.1363

Wouters, Paul; Zahedi, Zohreh; Costas, Rodrigo (2019). "Social media metrics for new research evaluation". In: Glí¤nzel, Wolfgang; Moed, Henk F.; Schmoch, Ulrich; Thelwall, Mike (eds.). Springer handbook of science and technology indicators. Springer, pp. 687-713. https://doi.org/10.1007/978-3-030-02511-3_26

Xia, Feng; Wang, Wei; Bekele, Teshome Megersa; Liu, Huan (2017). "Big scholarly data: A survey". IEEE transactions on big data, v. 3, n. 1, pp. 18-35. https://doi.org/10.1109/TBDATA.2016.2641460

Yang, Zhan; Xu, Wei; Chen, Runyu (2021). "A deep learning-based multi-turn conversation modeling for diagnostic Q&A document recommendation". Information processing & management, v. 58, n. 3, 102485. https://doi.org/10.1016/j.ipm.2020.102485

Zacharewicz, Thomas; Lepori, Benedetto; Reale, Emanuela; Jonkers, Koen (2019). "Performance-based research funding in EU Member States - a comparative assessment". Science and public policy, v. 46, n. 1, pp. 105-115. https://doi.org/10.1093/scipol/scy041

Zahedi, Zohreh; Costas, Rodrigo (2018). "General discussion of data quality challenges in social media metrics: Extensive comparison of four major altmetric data aggregators". Plos one, v. 13, n. 5, e0197326. https://doi.org/10.1371/journal.pone.0197326

Publicado

2023-04-15

Cómo citar

Torres-Salinas, D., Robinson-Garcí­a, N., & Jiménez-Contreras, E. (2023). The bibliometric journey towards technological and social change: A review of current challenges and issues. Profesional De La información, 32(2). https://doi.org/10.3145/epi.2023.mar.28

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Sección

Artí­culos de investigación / Research articles