scholarly journals Validation of lung density indices by cardiac CT for quantification of lung emphysema

2018 ◽  
Vol Volume 13 ◽  
pp. 3321-3330
Author(s):  
Andreas Ronit ◽  
Thomas Kristensen ◽  
Yunus Çolak ◽  
Jørgen Tobias Kühl ◽  
Anna Kalhauge ◽  
...  
Keyword(s):  
Cardiac Ct ◽  
Lung Density ◽  
Lung Emphysema ◽  
Density Indices

scholarly journals Reproducibility and Validity of Lung Density Measures from Cardiac CT Scans—The Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study1

2009 ◽  
Vol 16 (6) ◽  
pp. 689-699 ◽  
Author(s):  
Eric A. Hoffman ◽  
Rui Jiang ◽  
Heather Baumhauer ◽  
Michael A. Brooks ◽  
J. Jeffrey Carr ◽  
...  
Keyword(s):  
Cardiac Ct ◽  
Ct Scans ◽  
Lung Density ◽  
Ethnic Study

Criteria Elucidate the Role of Cardiac CT and MR

2006 ◽  
Vol 39 (21) ◽  
pp. 43
Author(s):  
KERRI WACHTER
Keyword(s):  
Cardiac Ct

Societies Join to Update Cardiac CT Criteria

2010 ◽  
Vol 40 (19) ◽  
pp. 34
Author(s):  
SHERRY BOSCHERT
Keyword(s):  
Cardiac Ct

Acute Pulmonary Oxygen Toxicity in Rats: Findings and Lung Density Changes in High Resolution Computed Tomography

2000 ◽  
Vol 42 (3) ◽  
pp. 473
Author(s):  
Dae Sik Ryu ◽  
Kun Sang Kim ◽  
Kil Hyen Kang ◽  
Haing Sup Chung ◽  
Bung Wok Lee ◽  
...  
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Oxygen Toxicity ◽  
High Resolution Computed Tomography ◽  
Lung Density

Mobile-Friendly Dashboards to Display Associations Between Cited-by and Similar Journals on Mobile Health Research: A Bibliometric Study (Preprint)

2018 ◽  
Author(s):  
Tsair-Wei Chien ◽  
Hsien-Yi Wang ◽  
Yang Shao ◽  
Willy Chou
Keyword(s):  
Social Network ◽  
Mobile Health ◽  
Health Research ◽  
Similarity Criteria ◽  
Network Density ◽  
Deep Insight ◽  
Density Indices ◽  
The Subject ◽  
The Given ◽  
Insight Into

BACKGROUND Researchers often spend a great deal of time and effort retrieving related journals for their studies and submissions. Authors often designate one article and then retrieve other articles that are related to the given one using PubMed’s service for finding cited-by or similar articles. However, to date, none present the association between cited-by and similar journals related to a given journal. Authors need one effective and efficient way to find related journals on the topic of mobile health research. OBJECTIVE This study aims (1) to show the related journals for a given journal by both cited-by and similarity criteria; (2) to present the association between cited-by and similarity journals related to a given journal; (3) to inspect the patterns of network density indices among clusters classified by social network analysis (SNA); (4) to investigate the feature of Kendall's coefficient(W) of concordance. METHODS We obtained 676 abstracts since 2013 from Medline based on the keywords of ("JMIR mHealth and uHealth"[Journal]) on June 30, 2018, and plotted the clusters of related journals on Google Maps by using MS Excel modules. The features of network density indices were examined. The Kendall coefficient (W) was used to assess the concordance of clusters across indices. RESULTS This study found that (1) the journals related to JMIR mHealth and uHealth are easily presented on dashboards; (2) a mild association(=0.14) exists between cited-by and similar journals related to JMIR mHealth and uHealth; (3) the median Impact Factor were 3.37 and 2.183 based on the representatives of top ten clusters grouped by the cited-by and similar journals, respectively; (4) all Kendall’s coefficients(i.e., 0.82, 0.89, 0.92, and 0.75) for the four sets of density centrality have a statistically significant concordance (p < 0.05). CONCLUSIONS SNA provides deep insight into the relationships of related journals to a given journal. The results of this research can provide readers with a knowledge and concept diagram to use with future submissions to a given journal in the subject category of Mobile Health Research. CLINICALTRIAL Not available

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