Research ArticleJournal of Data Science, Informetrics, and Citation StudiesVol. 2 | Issue 3 | 2023 | pp. 223–232Open access
Tendencies in Tomosynthesis Research Output 2000-2020: Bibliometric Analysis
- 1*,
- 2
- 1 Library and Information Science, University Library, Sri Venkateswara Veterinary University, Tirupati, Andhra Pradesh, INDIA.
- 2 CMR Institute of Technology, Kandlakoya, Medchal Road, Hyderabad, Telangana, INDIA.
Published in Journal of Data Science, Informetrics, and Citation Studies
Correspondence: Kutty Kumar
Library and Information Science, University Library, Sri Venkateswara Veterinary University, Tirupati, Andhra Pradesh, INDIA.
Email: kumarkkutty@gmail.com
Copyright: © 2023 Manuscript Technomedia. This is an open access article.
- Published:
- Dec 21, 2023
- Received:
- Sep 11, 2023
- Accepted:
- Dec 4, 2023
How to cite
Kumar, K., & Pitla, R. S. K. (2023). Tendencies in Tomosynthesis Research Output 2000-2020: Bibliometric Analysis. Journal of Data Science, Informetrics, and Citation Studies, 2(3), 223–232. https://doi.org/10.5530/jcitation.2.3.30
Abstract
Mammography has reached near-universal adoption because of the established capabilities in detecting and diagnosing breast cancer. In addition to first being used in radiology, digital imaging has significantly impacted tomographic imaging. Future applications of this breast tomosynthesis technique may result in its usage instead of mammography for breast cancer screening. An in-depth discussion of the long-term development of breast tomosynthesis is presented in two papers. This imaging modality emphasizes medical physics elements that Research tends to focus on. This first paper will discuss the previously conducted Research in system design, geometry, and technique optimization when acquiring images, including scattering from X-rays and radiation dose. A companion paper on breast tomosynthesis imaging techniques will present an overview of the reconstruction process.
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Article metadata
| Title | Tendencies in Tomosynthesis Research Output 2000-2020: Bibliometric Analysis |
|---|---|
| Authors | Kutty Kumar; Raja Suresh Kumar Pitla |
| Affiliations | Library and Information Science, University Library, Sri Venkateswara Veterinary University, Tirupati, Andhra Pradesh, INDIA.; CMR Institute of Technology, Kandlakoya, Medchal Road, Hyderabad, Telangana, INDIA. |
| Corresponding author | kumarkkutty@gmail.com |
| Journal | Journal of Data Science, Informetrics, and Citation Studies |
| Volume / Issue | Vol. 2, Issue 3 (2023) |
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- Bibliometrics of Scholarly Communications Published in the Journal of Information Science Theory and Practice from 2013 to 2022pp. 148–158
- Global Research Trends on Cognitive Neuroscience: A Scientometric Visualizationpp. 159–167
- Studies of Herbal Medicine in Stroke: A Five-Year Bibliometric Documentationpp. 168–174
- A Scientometric Assessment of India’s International Collaboration with South Asia Countries in COVID-19 Researchpp. 175–190
- Assessment of Top Ten NIRF 2020 Rank Universities Libraries: A Webometric Studypp. 191–202
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