9 research outputs found
Temporal lag from dissertation completion to publication by year.
<p>Temporal lag from dissertation completion to publication by year.</p
Stratified study sample by subfield of psychology.
<p>Stratified study sample by subfield of psychology.</p
Percentage of dissertations published.
<p>Percentage of dissertations published.</p
Flow diagram reflecting the numbers of dissertations included at each stage of the sampling process.
<p>Note. PQDT = ProQuest Dissertations and Theses. <sup>a</sup> Categories of excluded dissertations are mutually exclusive, summing to 100%. <sup>b</sup> PQDT exclusion criteria were applied sequentially in the order presented; thus, the number associated with each exclusion criterion reflects how many were excluded from the sample that remained after the previous criterion was applied. Adapted from the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0192219#pone.0192219.ref027" target="_blank">27</a>].</p
Cumulative article citations in Web of Science per year after publication.
<p>Cumulative article citations in Web of Science per year after publication.</p
Estimated cumulative rates of dissertation publication over time.
<p>Overall estimates and 95% confidence intervals (left panel) are derived from the weighted Cox regression model (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0192219#pone.0192219.t003" target="_blank">Table 3</a>). Subfield estimates (right panel) are derived from the unweighted Kaplan-Meier regression model. In both plots, cumulative publication estimate = one minus survival function.</p
Utilization of the Cardiac Phase Space Tomography Analysis (cPSTA) System.
<p>Phase signal data are collected and transferred to cloud. The generated models and analysis are available for physician assessment. cPSTA System = Cardiac Phase Space Tomography Analysis System, CAD = coronary artery disease. Reprinted from presentation materials of A4L under a license, with permission from A4L and W20, original production 2016.</p
Detecting flow-limiting CAD.
<p>Machine-Learned Predictor (cPSTA) Compared to Exercise SPECT [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0198603#pone.0198603.ref007" target="_blank">7</a>] and Exercise ECG [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0198603#pone.0198603.ref007" target="_blank">7</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0198603#pone.0198603.ref026" target="_blank">26</a>].</p