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Mendeley readers
Attention Score in Context
| Title |
Identification of conserved gene expression features between murine mammary carcinoma models and human breast tumors
|
|---|---|
| Published in |
Genome Biology, May 2007
|
| DOI | 10.1186/gb-2007-8-5-r76 |
| Pubmed ID | |
| Authors |
Jason I Herschkowitz, Karl Simin, Victor J Weigman, Igor Mikaelian, Jerry Usary, Zhiyuan Hu, Karen E Rasmussen, Laundette P Jones, Shahin Assefnia, Subhashini Chandrasekharan, Michael G Backlund, Yuzhi Yin, Andrey I Khramtsov, Roy Bastein, John Quackenbush, Robert I Glazer, Powel H Brown, Jeffrey E Green, Levy Kopelovich, Priscilla A Furth, Juan P Palazzo, Olufunmilayo I Olopade, Philip S Bernard, Gary A Churchill, Terry Van Dyke, Charles M Perou |
| Abstract |
Although numerous mouse models of breast carcinomas have been developed, we do not know the extent to which any faithfully represent clinically significant human phenotypes. To address this need, we characterized mammary tumor gene expression profiles from 13 different murine models using DNA microarrays and compared the resulting data to those from human breast tumors. |
Mendeley readers
The data shown below were compiled from readership statistics for 857 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 1% |
| United Kingdom | 8 | <1% |
| Germany | 3 | <1% |
| Argentina | 2 | <1% |
| France | 2 | <1% |
| Canada | 2 | <1% |
| India | 1 | <1% |
| Pakistan | 1 | <1% |
| Australia | 1 | <1% |
| Other | 4 | <1% |
| Unknown | 824 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 213 | 25% |
| Researcher | 128 | 15% |
| Student > Master | 110 | 13% |
| Student > Bachelor | 81 | 9% |
| Student > Doctoral Student | 52 | 6% |
| Other | 135 | 16% |
| Unknown | 138 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 274 | 32% |
| Biochemistry, Genetics and Molecular Biology | 208 | 24% |
| Medicine and Dentistry | 124 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 30 | 4% |
| Chemistry | 13 | 2% |
| Other | 51 | 6% |
| Unknown | 157 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 26 May 2022.
All research outputs
#2,475,188
of 25,373,627 outputs
Outputs from Genome Biology
#2,014
of 4,467 outputs
Outputs of similar age
#5,749
of 85,594 outputs
Outputs of similar age from Genome Biology
#7
of 41 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 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 54% 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 85,594 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 93% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.