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X Demographics
Mendeley readers
Attention Score in Context
| Title |
De novo sequencing of circulating miRNAs identifies novel markers predicting clinical outcome of locally advanced breast cancer
|
|---|---|
| Published in |
Journal of Translational Medicine, March 2012
|
| DOI | 10.1186/1479-5876-10-42 |
| Pubmed ID | |
| Authors |
Xiwei Wu, George Somlo, Yang Yu, Melanie R Palomares, Arthur Xuejun Li, Weiying Zhou, Amy Chow, Yun Yen, John J Rossi, Harry Gao, Jinhui Wang, Yate-Ching Yuan, Paul Frankel, Sierra Li, Kimlin Tam Ashing-Giwa, Guihua Sun, Yafan Wang, Robin Smith, Kim Robinson, Xiubao Ren, Shizhen Emily Wang |
| Abstract |
MicroRNAs (miRNAs) have been recently detected in the circulation of cancer patients, where they are associated with clinical parameters. Discovery profiling of circulating small RNAs has not been reported in breast cancer (BC), and was carried out in this study to identify blood-based small RNA markers of BC clinical outcome. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 40% |
| France | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | <1% |
| Italy | 1 | <1% |
| Lithuania | 1 | <1% |
| Belgium | 1 | <1% |
| Denmark | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 173 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 21% |
| Researcher | 36 | 20% |
| Student > Master | 22 | 12% |
| Student > Doctoral Student | 14 | 8% |
| Student > Bachelor | 9 | 5% |
| Other | 29 | 16% |
| Unknown | 32 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 42 | 23% |
| Agricultural and Biological Sciences | 37 | 21% |
| Medicine and Dentistry | 33 | 18% |
| Computer Science | 4 | 2% |
| Engineering | 4 | 2% |
| Other | 16 | 9% |
| Unknown | 43 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 May 2012.
All research outputs
#7,413,245
of 22,663,969 outputs
Outputs from Journal of Translational Medicine
#1,226
of 3,954 outputs
Outputs of similar age
#51,473
of 156,269 outputs
Outputs of similar age from Journal of Translational Medicine
#22
of 49 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,954 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 gotten more attention than average, scoring higher than 64% 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 156,269 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.