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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comparison of molecular subtype distribution in triple-negative inflammatory and non-inflammatory breast cancers
|
|---|---|
| Published in |
Breast Cancer Research, November 2013
|
| DOI | 10.1186/bcr3579 |
| Pubmed ID | |
| Authors |
Hiroko Masuda, Keith A Baggerly, Ying Wang, Takayuki Iwamoto, Takae Brewer, Lajos Pusztai, Kazuharu Kai, Takahiro Kogawa, Pascal Finetti, Daniel Birnbaum, Luc Dirix, Wendy A Woodward, James M Reuben, Savitri Krishnamurthy, W Fraser Symmans, Steven J Van Laere, François Bertucci, Gabriel N Hortobagyi, Naoto T Ueno |
| Abstract |
Because of its high rate of metastasis, inflammatory breast cancer (IBC) has a poor prognosis compared with non-inflammatory types of breast cancer (non-IBC). In a recent study, Lehmann and colleagues identified seven subtypes of triple-negative breast cancer (TNBC). We hypothesized that the distribution of TNBC subtypes differs between TN-IBC and TN-non-IBC. We determined the subtypes and compared clinical outcomes by subtype in TN-IBC and TN-non-IBC patients. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 3 | 50% |
| Australia | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 2% |
| Unknown | 62 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 24% |
| Student > Ph. D. Student | 9 | 14% |
| Student > Bachelor | 5 | 8% |
| Other | 5 | 8% |
| Student > Master | 5 | 8% |
| Other | 10 | 16% |
| Unknown | 14 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 24% |
| Agricultural and Biological Sciences | 12 | 19% |
| Biochemistry, Genetics and Molecular Biology | 5 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Chemical Engineering | 2 | 3% |
| Other | 9 | 14% |
| Unknown | 18 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 September 2015.
All research outputs
#7,204,326
of 25,371,288 outputs
Outputs from Breast Cancer Research
#824
of 2,052 outputs
Outputs of similar age
#78,407
of 317,646 outputs
Outputs of similar age from Breast Cancer Research
#13
of 33 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,052 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one has gotten more attention than average, scoring higher than 59% 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 317,646 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 75% 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 gotten more attention than average, scoring higher than 60% of its contemporaries.