IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v80y2009i2d10.1007_s11192-008-2070-3.html
   My bibliography  Save this article

Differentiating, describing, and visualizing scientific space: A novel approach to the analysis of published scientific abstracts

Author

Listed:
  • Eli M. Blatt

    (Stanford University)

Abstract

This paper will develop and demonstrate a novel method for analyzing scientific indexes called Latent Semantic Differentiation. Using two distinct datasets comprised of scientific abstracts, it will demonstrate the procedure’s ability to identify the dominant themes, cluster the articles accordingly, visualize the results, and provide a qualitative description of each cluster. Combined, the analyses will highlight the utility of the procedure for scientific document indexing, structuring university departments, facilitating grant administration, and augmenting ongoing research on scientific citation. Because the procedure is extensible to any textual domain, there are numerous avenues for continued research both within the sciences and beyond.

Suggested Citation

  • Eli M. Blatt, 2009. "Differentiating, describing, and visualizing scientific space: A novel approach to the analysis of published scientific abstracts," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(2), pages 385-406, August.
    • Handle: RePEc:spr:scient:v:80:y:2009:i:2:d:10.1007_s11192-008-2070-3
    DOI: 10.1007/s11192-008-2070-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-008-2070-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-008-2070-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Robert R. Braam & Henk F. Moed & Anthony F. J. van Raan, 1991. "Mapping of science by combined co‐citation and word analysis. I. Structural aspects," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 42(4), pages 233-251, May.
    2. Thed N. Van Leeuwen & Henk F. Moed & Robert J. W. Tijssen & Martijn S. Visser & Anthony F. J. Van Raan, 2001. "Language biases in the coverage of the Science Citation Index and its consequencesfor international comparisons of national research performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(1), pages 335-346, April.
    3. Peter Mika & Tom Elfring & Peter Groenewegen, 2006. "Application of semantic technology for social network analysis in the sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(1), pages 3-27, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hautala, Johanna & Jauhiainen, Jussi S., 2014. "Spatio-temporal processes of knowledge creation," Research Policy, Elsevier, vol. 43(4), pages 655-668.
    2. Gohar Feroz Khan & Junghoon Moon & Han Woo Park, 2011. "Network of the core: mapping and visualizing the core of scientific domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 759-779, December.
    3. Naser Rashidi & Hussein Meihami, 2018. "Informetrics of Scientometrics abstracts: a rhetorical move analysis of the research abstracts published in Scientometrics journal," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1975-1994, September.
    4. Pablo Contreras Kallens & Rick Dale, 2018. "Exploratory mapping of theoretical landscapes through word use in abstracts," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1641-1674, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fairclough, Ruth & Thelwall, Mike, 2015. "National research impact indicators from Mendeley readers," Journal of Informetrics, Elsevier, vol. 9(4), pages 845-859.
    2. Domingo Docampo & Lawrence Cram, 2019. "Highly cited researchers: a moving target," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1011-1025, March.
    3. Yves Gingras & Mahdi Khelfaoui, 2018. "Assessing the effect of the United States’ “citation advantage” on other countries’ scientific impact as measured in the Web of Science (WoS) database," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 517-532, February.
    4. Ding, Ying, 2011. "Community detection: Topological vs. topical," Journal of Informetrics, Elsevier, vol. 5(4), pages 498-514.
    5. Li, Jiang & Qiao, Lili & Li, Wenyuze & Jin, Yidan, 2014. "Chinese-language articles are not biased in citations: Evidences from Chinese-English bilingual journals in Scopus and Web of Science," Journal of Informetrics, Elsevier, vol. 8(4), pages 912-916.
    6. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    7. Martín-Martín, Alberto & Orduna-Malea, Enrique & Thelwall, Mike & Delgado López-Cózar, Emilio, 2018. "Google Scholar, Web of Science, and Scopus: A systematic comparison of citations in 252 subject categories," Journal of Informetrics, Elsevier, vol. 12(4), pages 1160-1177.
    8. Gennaro Guida, 2018. "Italian Economics Departments’ Scientific Research Performance: Comparison between VQR and ASN Methodologies," International Journal of Business and Management, Canadian Center of Science and Education, vol. 13(9), pages 182-182, August.
    9. Sumita Raghuram & Philipp Tuertscher & Raghu Garud, 2010. "Research Note ---Mapping the Field of Virtual Work: A Cocitation Analysis," Information Systems Research, INFORMS, vol. 21(4), pages 983-999, December.
    10. Ronald N. Kostoff, 2002. "Citation analysis of research performer quality," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(1), pages 49-71, January.
    11. Ballester, Omar & Penner, Orion, 2022. "Robustness, replicability and scalability in topic modelling," Journal of Informetrics, Elsevier, vol. 16(1).
    12. José María Gómez-Sancho & María Jesús Mancebón-Torrubia, 2009. "The evaluation of scientific production: Towards a neutral impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 435-458, November.
    13. Peder Olesen Larsen & Markus Ins, 2010. "The rate of growth in scientific publication and the decline in coverage provided by Science Citation Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 575-603, September.
    14. Xie, Qing & Zhang, Xinyuan & Song, Min, 2021. "A network embedding-based scholar assessment indicator considering four facets: Research topic, author credit allocation, field-normalized journal impact, and published time," Journal of Informetrics, Elsevier, vol. 15(4).
    15. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    16. Andreea Mironescu & Alina Moroșanu & Anca-Diana Bibiri, 2023. "The regional dynamics of multilingual publishing in web of science: A statistical analysis of central and eastern european journals and researchers in linguistics," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 1133-1162, February.
    17. Ju-O Wang & Tzeng-Ji Chen & Senyeong Kao & Te-Chun Yeh & Li-Fang Chou & Shung-Tai Ho, 2012. "Scientific publications by anesthesia departments in East Asia," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 135-143, July.
    18. Kostoff, Ronald N., 2008. "Comparison of China/USA science and technology performance," Journal of Informetrics, Elsevier, vol. 2(4), pages 354-363.
    19. Ismael Rafols & Martin Meyer, 2010. "Diversity and network coherence as indicators of interdisciplinarity: case studies in bionanoscience," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 263-287, February.
    20. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:80:y:2009:i:2:d:10.1007_s11192-008-2070-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.