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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ATP synthase ecto-α-subunit: a novel therapeutic target for breast cancer
|
|---|---|
| Published in |
Journal of Translational Medicine, December 2011
|
| DOI | 10.1186/1479-5876-9-211 |
| Pubmed ID | |
| Authors |
Jian Pan, Li-Chao Sun, Yan-Fang Tao, Zhuan Zhou, Xiao-Li Du, Liang Peng, Xing Feng, Jian Wang, Yi-Ping Li, Ling Liu, Shui-Yan Wu, Yan-Lan Zhang, Shao-Yan Hu, Wen-Li Zhao, Xue-Ming Zhu, Guo-Liang Lou, Jian Ni |
| Abstract |
Treatment failure for breast cancer is frequently due to lymph node metastasis and invasion to neighboring organs. The aim of the present study was to investigate invasion- and metastasis-related genes in breast cancer cells in vitro and in vivo. Identification of new targets will facilitate the developmental pace of new techniques in screening and early diagnosis. Improved abilities to predict progression and metastasis, therapeutic response and toxicity will help to increase survival of breast cancer patients. |
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 % |
|---|---|---|
| United States | 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 2% |
| Czechia | 1 | 2% |
| Unknown | 57 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 20% |
| Student > Master | 8 | 14% |
| Student > Bachelor | 8 | 14% |
| Student > Ph. D. Student | 6 | 10% |
| Student > Doctoral Student | 3 | 5% |
| Other | 9 | 15% |
| Unknown | 13 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 20% |
| Biochemistry, Genetics and Molecular Biology | 10 | 17% |
| Agricultural and Biological Sciences | 9 | 15% |
| Engineering | 3 | 5% |
| Computer Science | 2 | 3% |
| Other | 7 | 12% |
| Unknown | 16 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 20 March 2024.
All research outputs
#3,097,583
of 22,662,201 outputs
Outputs from Journal of Translational Medicine
#500
of 3,951 outputs
Outputs of similar age
#25,331
of 240,849 outputs
Outputs of similar age from Journal of Translational Medicine
#6
of 56 outputs
Altmetric has tracked 22,662,201 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,951 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done well, scoring higher than 87% 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 240,849 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 89% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.