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Mendeley readers
Attention Score in Context
Title |
Epithelial-to-mesenchymal transition markers to predict response of Berberine in suppressing lung cancer invasion and metastasis
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Published in |
Journal of Translational Medicine, January 2014
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DOI | 10.1186/1479-5876-12-22 |
Pubmed ID | |
Authors |
Hui-wei Qi, Ling-yan Xin, Xin Xu, Xian-xiu Ji, Li-hong Fan |
Abstract |
The effects of berberine on the metastatic potential of lung cancer cells and its underlying mechanisms have not been fully elucidated. Since epithelial-to-mesenchymal transition is a cellular process associated with cancer invasion and metastasis, we attempted to investigate the potential use of berberine as an inhibitor of TGF-β1-induced epithelial-to-mesenchymal in A549 cells. |
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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 54 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 20% |
Student > Bachelor | 7 | 13% |
Student > Master | 6 | 11% |
Researcher | 4 | 7% |
Student > Postgraduate | 4 | 7% |
Other | 9 | 17% |
Unknown | 13 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 8 | 15% |
Biochemistry, Genetics and Molecular Biology | 7 | 13% |
Pharmacology, Toxicology and Pharmaceutical Science | 5 | 9% |
Chemistry | 4 | 7% |
Medicine and Dentistry | 4 | 7% |
Other | 7 | 13% |
Unknown | 19 | 35% |
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 24 January 2014.
All research outputs
#20,217,843
of 22,741,406 outputs
Outputs from Journal of Translational Medicine
#3,305
of 3,975 outputs
Outputs of similar age
#264,967
of 306,091 outputs
Outputs of similar age from Journal of Translational Medicine
#77
of 119 outputs
Altmetric has tracked 22,741,406 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 3,975 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 306,091 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 119 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.