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Mendeley readers
Attention Score in Context
| Title |
Genomic subtypes of breast cancer identified by array-comparative genomic hybridization display distinct molecular and clinical characteristics
|
|---|---|
| Published in |
Breast Cancer Research, June 2010
|
| DOI | 10.1186/bcr2596 |
| Pubmed ID | |
| Authors |
Göran Jönsson, Johan Staaf, Johan Vallon-Christersson, Markus Ringnér, Karolina Holm, Cecilia Hegardt, Haukur Gunnarsson, Rainer Fagerholm, Carina Strand, Bjarni A Agnarsson, Outi Kilpivaara, Lena Luts, Päivi Heikkilä, Kristiina Aittomäki, Carl Blomqvist, Niklas Loman, Per Malmström, Håkan Olsson, Oskar Th Johannsson, Adalgeir Arason, Heli Nevanlinna, Rosa B Barkardottir, Åke Borg |
| Abstract |
Breast cancer is a profoundly heterogeneous disease with respect to biologic and clinical behavior. Gene-expression profiling has been used to dissect this complexity and to stratify tumors into intrinsic gene-expression subtypes, associated with distinct biology, patient outcome, and genomic alterations. Additionally, breast tumors occurring in individuals with germline BRCA1 or BRCA2 mutations typically fall into distinct subtypes. |
Mendeley readers
The data shown below were compiled from readership statistics for 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| United Kingdom | 2 | 1% |
| Germany | 1 | <1% |
| France | 1 | <1% |
| Brazil | 1 | <1% |
| Canada | 1 | <1% |
| Norway | 1 | <1% |
| Denmark | 1 | <1% |
| Argentina | 1 | <1% |
| Other | 2 | 1% |
| Unknown | 143 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 49 | 31% |
| Student > Ph. D. Student | 27 | 17% |
| Student > Bachelor | 14 | 9% |
| Student > Master | 11 | 7% |
| Other | 8 | 5% |
| Other | 23 | 15% |
| Unknown | 24 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 50 | 32% |
| Medicine and Dentistry | 37 | 24% |
| Biochemistry, Genetics and Molecular Biology | 23 | 15% |
| Computer Science | 5 | 3% |
| Mathematics | 3 | 2% |
| Other | 12 | 8% |
| Unknown | 26 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 11 October 2023.
All research outputs
#1,253,319
of 25,373,627 outputs
Outputs from Breast Cancer Research
#98
of 2,052 outputs
Outputs of similar age
#3,838
of 104,524 outputs
Outputs of similar age from Breast Cancer Research
#1
of 20 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
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 done particularly well, scoring higher than 95% 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 104,524 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.