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Mendeley readers
Attention Score in Context
Title |
Establishing a rabbit model of malignant esophagostenosis using the endoscopic implantation technique for studies on stent innovation
|
---|---|
Published in |
Journal of Translational Medicine, February 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. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 25% |
Student > Bachelor | 3 | 19% |
Other | 2 | 13% |
Student > Ph. D. Student | 2 | 13% |
Student > Doctoral Student | 1 | 6% |
Other | 2 | 13% |
Unknown | 2 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 9 | 56% |
Psychology | 2 | 13% |
Agricultural and Biological Sciences | 1 | 6% |
Nursing and Health Professions | 1 | 6% |
Engineering | 1 | 6% |
Other | 0 | 0% |
Unknown | 2 | 13% |
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
#20,219,902
of 22,743,667 outputs
Outputs from Journal of Translational Medicine
#3,305
of 3,976 outputs
Outputs of similar age
#269,442
of 311,648 outputs
Outputs of similar age from Journal of Translational Medicine
#79
of 116 outputs
Altmetric has tracked 22,743,667 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 3,976 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. 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 311,648 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 116 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.