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Establishing a rabbit model of malignant esophagostenosis using the endoscopic implantation technique for studies on stent innovation

Overview of attention for article published in Journal of Translational Medicine, January 2014
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Mentioned by

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1 tweeter

Citations

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5 Dimensions

Readers on

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10 Mendeley
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Title
Establishing a rabbit model of malignant esophagostenosis using the endoscopic implantation technique for studies on stent innovation
Published in
Journal of Translational Medicine, January 2014
DOI 10.1186/1479-5876-12-40
Pubmed ID
Authors

Jin Huang, Jinquan Shuang, Guanyin Xiong, Xiang Wang, Yin Zhang, Xiaowei Tang, Zhining Fan, Yingzhou Shen, Hanming Song, Zhi Liu

Abstract

Stents are recommended in patients with dysphagia caused by esophageal stricture, but an ideal stent does not currently exist. Thus, studies on new esophageal stents are necessary, and suitable animal models are desperately needed for these studies. The aim of this study was to establish a model of malignant esophageal stricture in rabbit for studies on stent innovation.

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 30%
Student > Bachelor 2 20%
Other 1 10%
Student > Ph. D. Student 1 10%
Student > Doctoral Student 1 10%
Other 1 10%
Unknown 1 10%
Readers by discipline Count As %
Medicine and Dentistry 5 50%
Psychology 2 20%
Agricultural and Biological Sciences 1 10%
Nursing and Health Professions 1 10%
Unknown 1 10%

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 10 February 2014.
All research outputs
#2,278,591
of 4,508,238 outputs
Outputs from Journal of Translational Medicine
#566
of 1,265 outputs
Outputs of similar age
#60,941
of 126,627 outputs
Outputs of similar age from Journal of Translational Medicine
#41
of 79 outputs
Altmetric has tracked 4,508,238 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,265 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 28th percentile – i.e., 28% 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 126,627 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.