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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The therapeutic target of estrogen receptor-alpha36 in estrogen-dependent tumors
|
|---|---|
| Published in |
Journal of Translational Medicine, January 2014
|
| DOI | 10.1186/1479-5876-12-16 |
| Pubmed ID | |
| Authors |
Yu Gu, Tianxiang Chen, Elena López, Weizhu Wu, Xiangdong Wang, Jiang Cao, Lisong Teng |
| Abstract |
Estrogen receptor-alpha36 (ER-α36) is a new isoform of estrogen receptors without transcriptional activation domains of the classical ER-α(ER - α66). ER-α36 is mainly located in cytoplasm and plasma membrane. ER-α36 mediates non-genomic signaling and is involved in genomic signaling of other ERs. Recently ER-α36 is found to play a critical role in the development of estrogen-dependent cancers and endocrine resistance of breast cancer. The present article overviews and updates the biological nature and function of ER-α36, potential interaction of ER-α36 with other estrogen receptors and growth factor receptors, intracellular signaling pathways, potential mechanism by which ER-α36 may play an important role in the development of tumor resistance to endocrine therapies. |
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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | 2% |
| Switzerland | 1 | 2% |
| Unknown | 44 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 20% |
| Student > Bachelor | 5 | 11% |
| Researcher | 5 | 11% |
| Student > Doctoral Student | 4 | 9% |
| Lecturer | 4 | 9% |
| Other | 8 | 17% |
| Unknown | 11 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 28% |
| Biochemistry, Genetics and Molecular Biology | 10 | 22% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 9% |
| Medicine and Dentistry | 4 | 9% |
| Chemistry | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 11 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 18 January 2018.
All research outputs
#4,588,686
of 22,741,406 outputs
Outputs from Journal of Translational Medicine
#744
of 3,975 outputs
Outputs of similar age
#56,265
of 305,589 outputs
Outputs of similar age from Journal of Translational Medicine
#27
of 119 outputs
Altmetric has tracked 22,741,406 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 has done well, scoring higher than 80% 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 305,589 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
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 has done well, scoring higher than 75% of its contemporaries.