↓ Skip to main content

Significance of red cell distribution width measurement for the patients with isolated coronary artery ectasia

Overview of attention for article published in Journal of Translational Medicine, March 2014
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
23 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Significance of red cell distribution width measurement for the patients with isolated coronary artery ectasia
Published in
Journal of Translational Medicine, March 2014
DOI 10.1186/1479-5876-12-62
Pubmed ID
Authors

Xiao-Lin Li, Li-Feng Hong, Yan-Jun Jia, Shao-Ping Nie, Yuan-Lin Guo, Rui-Xia Xu, Cheng-Gang Zhu, Li-Xin Jiang, Jian-Jun Li

Abstract

Red cell distribution width (RDW) has been recognized as a novel marker for several cardiovascular diseases. The aim of this study was to evaluate the association between RDW levels and the presence of isolated coronary artery ectasia (CAE).

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 17%
Student > Master 4 17%
Student > Bachelor 2 9%
Other 2 9%
Lecturer 1 4%
Other 4 17%
Unknown 6 26%
Readers by discipline Count As %
Medicine and Dentistry 9 39%
Biochemistry, Genetics and Molecular Biology 1 4%
Psychology 1 4%
Agricultural and Biological Sciences 1 4%
Decision Sciences 1 4%
Other 1 4%
Unknown 9 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 March 2014.
All research outputs
#22,758,309
of 25,371,288 outputs
Outputs from Journal of Translational Medicine
#3,880
of 4,634 outputs
Outputs of similar age
#205,801
of 235,794 outputs
Outputs of similar age from Journal of Translational Medicine
#51
of 82 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,634 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 235,794 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.