1,726,597 research outputs found
Supplemental material for Analytical Solution to the Depth-of-Origin Profile of Transmission Raman Spectroscopy in Turbid Media Based on the Kubelka–Munk Model
Supplemental Material for Analytical Solution to the Depth-of-Origin Profile of Transmission Raman Spectroscopy in Turbid Media Based on the Kubelka–Munk Model by Jun Zhao in Applied Spectroscopy</p
sj-docx-2-cix-10.1177_11769351221126285 – Supplemental material for Transcription Elongation Factor A (SII)-Like (TCEAL) Gene Family Member-TCEAL2: A Novel Prognostic Marker in Pan-Cancer
Supplemental material, sj-docx-2-cix-10.1177_11769351221126285 for Transcription Elongation Factor A (SII)-Like (TCEAL) Gene Family Member-TCEAL2: A Novel Prognostic Marker in Pan-Cancer by Yu Sun and Jun Zhao in Cancer Informatics</p
sj-pdf-4-cix-10.1177_11769351221126285 – Supplemental material for Transcription Elongation Factor A (SII)-Like (TCEAL) Gene Family Member-TCEAL2: A Novel Prognostic Marker in Pan-Cancer
Supplemental material, sj-pdf-4-cix-10.1177_11769351221126285 for Transcription Elongation Factor A (SII)-Like (TCEAL) Gene Family Member-TCEAL2: A Novel Prognostic Marker in Pan-Cancer by Yu Sun and Jun Zhao in Cancer Informatics</p
sj-pdf-3-cix-10.1177_11769351221126285 – Supplemental material for Transcription Elongation Factor A (SII)-Like (TCEAL) Gene Family Member-TCEAL2: A Novel Prognostic Marker in Pan-Cancer
Supplemental material, sj-pdf-3-cix-10.1177_11769351221126285 for Transcription Elongation Factor A (SII)-Like (TCEAL) Gene Family Member-TCEAL2: A Novel Prognostic Marker in Pan-Cancer by Yu Sun and Jun Zhao in Cancer Informatics</p
sj-docx-1-cix-10.1177_11769351221126285 – Supplemental material for Transcription Elongation Factor A (SII)-Like (TCEAL) Gene Family Member-TCEAL2: A Novel Prognostic Marker in Pan-Cancer
Supplemental material, sj-docx-1-cix-10.1177_11769351221126285 for Transcription Elongation Factor A (SII)-Like (TCEAL) Gene Family Member-TCEAL2: A Novel Prognostic Marker in Pan-Cancer by Yu Sun and Jun Zhao in Cancer Informatics</p
sj-pdf-5-cix-10.1177_11769351221126285 – Supplemental material for Transcription Elongation Factor A (SII)-Like (TCEAL) Gene Family Member-TCEAL2: A Novel Prognostic Marker in Pan-Cancer
Supplemental material, sj-pdf-5-cix-10.1177_11769351221126285 for Transcription Elongation Factor A (SII)-Like (TCEAL) Gene Family Member-TCEAL2: A Novel Prognostic Marker in Pan-Cancer by Yu Sun and Jun Zhao in Cancer Informatics</p
sj-docx-1-srd-10.1177_23780231221095343 – Supplemental material for Assessing the Causal Link between the COVID-19 Pandemic and Racial Discrimination
Supplemental material, sj-docx-1-srd-10.1177_23780231221095343 for Assessing the Causal Link between the COVID-19 Pandemic and Racial Discrimination by Jun Zhao, Justine E. Tinkler and Kristen A. Clayton in Socius</p
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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