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Science & Technology Libraries is a peer-reviewed journal published by Taylor & Francis, covering Library Collection Development and Digital Resources, Library Science and Information Literacy, Web and Library Services.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Science & Technology Libraries 12 (3): 45–58.
Formats any DOI in Science & Technology Libraries style. No sign-up. |
| Publishes research in | Library Collection Development and Digital Resources Library Science and Information Literacy Web and Library Services Research Data Management Practices scientometrics and bibliometrics research |
| ISSN | 0194-262X |
| Citation impact (2-yr) | 1.12 |
| h-index | 34 |
| i10-index | 204 |
| Total citations | 7,315 |
| Top institutions publishing here | University of Arkansas at Fayetteville |
| Journal website | www.tandfonline.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Increased efforts to diversify science, technology, engineering, and mathematics (STEM) education in the United States have drastically increased the number of studies offering insight into the experiences of women in STEM programs in higher education. This paper presents a thematic review of the literature regarding their status from 2007 to 2017 including journals, trade magazines,…
In the age of information, data collected from database publishers can tell a story. Over time, research publications from an institution can reveal patterns in the work of faculty, students, and researchers. This is illustrated using visualization platforms such as VOSviewer. Information professionals can generate these visualizations to reveal researcher collaborations and trends in research…
Named entity recognition (NER) is a natural language processing tool for information extraction from unstructured text data such as e-mails, newspapers, blogs, etc. NER is the process of identifying nouns like people, place, organization, etc., that are mentioned in the string of the text, sentence, or paragraph. For building the NER system, many different libraries…
Summary This paper distinguishes evaluation procedures in a physical library from those in a digital library, reviewing usability evaluation work within a taxonomy of system design, development and deployment. Usability evaluation of digital libraries should follow two evaluation strategies. The first a convergent methods paradigm. Evaluation data are collected throughout the system life cycle using…
