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X Demographics
Mendeley readers
Attention Score in Context
Title |
MicroRNA-134 as a potential plasma biomarker for the diagnosis of acute pulmonary embolism
|
---|---|
Published in |
Journal of Translational Medicine, September 2011
|
DOI | 10.1186/1479-5876-9-159 |
Pubmed ID | |
Authors |
Junjie Xiao, Zhi-Cheng Jing, Patrick T Ellinor, Dandan Liang, Hong Zhang, Ying Liu, Xiaoli Chen, Lei Pan, Robert Lyon, Yi Liu, Lu-Ying Peng, Xingqun Liang, Yunfu Sun, Laurentiu M Popescu, Gianluigi Condorelli, Yi-Han Chen |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 1% |
Portugal | 1 | 1% |
Denmark | 1 | 1% |
Unknown | 71 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 16 | 22% |
Researcher | 12 | 16% |
Student > Ph. D. Student | 11 | 15% |
Professor | 6 | 8% |
Professor > Associate Professor | 5 | 7% |
Other | 14 | 19% |
Unknown | 10 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 19 | 26% |
Agricultural and Biological Sciences | 13 | 18% |
Biochemistry, Genetics and Molecular Biology | 9 | 12% |
Nursing and Health Professions | 3 | 4% |
Immunology and Microbiology | 2 | 3% |
Other | 13 | 18% |
Unknown | 15 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 29 November 2022.
All research outputs
#6,416,222
of 25,068,002 outputs
Outputs from Journal of Translational Medicine
#1,051
of 4,548 outputs
Outputs of similar age
#35,494
of 135,743 outputs
Outputs of similar age from Journal of Translational Medicine
#9
of 33 outputs
Altmetric has tracked 25,068,002 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 4,548 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done well, scoring higher than 76% of its peers.
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 135,743 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.