1,721,228 research outputs found
sj-docx-4-dhj-10.1177_20552076231170696 - Supplemental material for Development of a video-based evidence synthesis knowledge translation resource: Drawing on a user-centred design approach
No full textSupplemental material, sj-docx-4-dhj-10.1177_20552076231170696 for Development of a video-based evidence synthesis knowledge translation resource: Drawing on a user-centred design approach by Cristian Deliv, Declan Devane, El Putnam, Patricia Healy, Amanda Hall, Sarah Rosenbaum and Elaine Toomey in DIGITAL HEALTH</p
sj-docx-3-dhj-10.1177_20552076231170696 - Supplemental material for Development of a video-based evidence synthesis knowledge translation resource: Drawing on a user-centred design approach
No full textSupplemental material, sj-docx-3-dhj-10.1177_20552076231170696 for Development of a video-based evidence synthesis knowledge translation resource: Drawing on a user-centred design approach by Cristian Deliv, Declan Devane, El Putnam, Patricia Healy, Amanda Hall, Sarah Rosenbaum and Elaine Toomey in DIGITAL HEALTH</p
sj-docx-1-dhj-10.1177_20552076231170696 - Supplemental material for Development of a video-based evidence synthesis knowledge translation resource: Drawing on a user-centred design approach
No full textSupplemental material, sj-docx-1-dhj-10.1177_20552076231170696 for Development of a video-based evidence synthesis knowledge translation resource: Drawing on a user-centred design approach by Cristian Deliv, Declan Devane, El Putnam, Patricia Healy, Amanda Hall, Sarah Rosenbaum and Elaine Toomey in DIGITAL HEALTH</p
sj-docx-2-dhj-10.1177_20552076231170696 - Supplemental material for Development of a video-based evidence synthesis knowledge translation resource: Drawing on a user-centred design approach
No full textSupplemental material, sj-docx-2-dhj-10.1177_20552076231170696 for Development of a video-based evidence synthesis knowledge translation resource: Drawing on a user-centred design approach by Cristian Deliv, Declan Devane, El Putnam, Patricia Healy, Amanda Hall, Sarah Rosenbaum and Elaine Toomey in DIGITAL HEALTH</p
Supplemental Material - PROMoting the use of studies within a trial (PROMETHEUS): Results and experiences from a large programme to evaluate the routine embedding of recruitment and retention strategies within randomised controlled trials routinely
No full textSupplemental Material for PROMoting the use of studies within a trial (PROMETHEUS): Results and experiences from a large programme to evaluate the routine embedding of recruitment and retention strategies within randomised controlled trials routinely by Laura Doherty, Adwoa Parker, Catherine Arundel, Laura Clark, Elizabeth Coleman, Catherine Hewitt, David Beard, Peter Bower, Paul Brocklehurst, Cindy Cooper, Lucy Culliford, Declan Devane, Richard Emsley, Sandra Eldridge, Sandra Galvin, Katie Gillies, Alan Montgomery, Chris Sutton, Shaun Treweek, David Torgerson in Research Methods in Medicine & Health Sciences</p
sj-docx-2-ctj-10.1177_17407745211053803 – Supplemental material for Developing an online, searchable database to systematically map and organise current literature on retention research (ORRCA2)
No full textSupplemental material, sj-docx-2-ctj-10.1177_17407745211053803 for Developing an online, searchable database to systematically map and organise current literature on retention research (ORRCA2) by Anna Kearney, Polly-Anna Ashford, Laura Butlin, Thomas Conway, William J Cragg, Declan Devane, Heidi Gardner, Daisy M Gaunt, Katie Gillies, Nicola L Harman, Andrew Hunter, Athene J Lane, Catherine McWilliams, Louise Murphy, Carrie O’Nions, Edward N Stanhope, Akke Vellinga, Paula R Williamson and Carrol Gamble in Clinical Trials</p
sj-docx-3-ctj-10.1177_17407745211053803 – Supplemental material for Developing an online, searchable database to systematically map and organise current literature on retention research (ORRCA2)
No full textSupplemental material, sj-docx-3-ctj-10.1177_17407745211053803 for Developing an online, searchable database to systematically map and organise current literature on retention research (ORRCA2) by Anna Kearney, Polly-Anna Ashford, Laura Butlin, Thomas Conway, William J Cragg, Declan Devane, Heidi Gardner, Daisy M Gaunt, Katie Gillies, Nicola L Harman, Andrew Hunter, Athene J Lane, Catherine McWilliams, Louise Murphy, Carrie O’Nions, Edward N Stanhope, Akke Vellinga, Paula R Williamson and Carrol Gamble in Clinical Trials</p
sj-docx-1-ctj-10.1177_17407745211053803 – Supplemental material for Developing an online, searchable database to systematically map and organise current literature on retention research (ORRCA2)
No full textSupplemental material, sj-docx-1-ctj-10.1177_17407745211053803 for Developing an online, searchable database to systematically map and organise current literature on retention research (ORRCA2) by Anna Kearney, Polly-Anna Ashford, Laura Butlin, Thomas Conway, William J Cragg, Declan Devane, Heidi Gardner, Daisy M Gaunt, Katie Gillies, Nicola L Harman, Andrew Hunter, Athene J Lane, Catherine McWilliams, Louise Murphy, Carrie O’Nions, Edward N Stanhope, Akke Vellinga, Paula R Williamson and Carrol Gamble in Clinical Trials</p
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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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