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Mendeley readers
Attention Score in Context
| Title |
Patient-derived breast tumor xenografts facilitating personalized cancer therapy
|
|---|---|
| Published in |
Breast Cancer Research, January 2013
|
| DOI | 10.1186/bcr3355 |
| Pubmed ID | |
| Authors |
Melissa D Landis, Brian D Lehmann, Jennifer A Pietenpol, Jenny C Chang |
| Abstract |
ABSTRACT: Despite improved detection and reduction of breast cancer-related deaths over the recent decade, breast cancer remains the second leading cause of cancer death for women in the US, with 39,510 women expected to succumb to metastatic disease in 2012 alone (American Cancer Society, Cancer Facts &Figures 2012. Atlanta: American Cancer Society; 2012). Continued efforts in classification of breast cancers based on gene expression profiling and genomic sequencing have revealed an underlying complexity and molecular heterogeneity within the disease that continues to challenge therapeutic interventions. To successfully identify and translate new treatment regimens to the clinic, it is imperative that our preclinical models recapitulate this complexity and heterogeneity. In this review article, we discuss the recent advances in development and classification of patient-derived human breast tumor xenograft models that have the potential to facilitate the next phase of drug discovery for personalized cancer therapy based on the unique driver signaling pathways in breast tumor subtypes. |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| France | 2 | 2% |
| Hong Kong | 1 | <1% |
| Australia | 1 | <1% |
| Germany | 1 | <1% |
| Singapore | 1 | <1% |
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| Poland | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 100 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 27% |
| Student > Ph. D. Student | 23 | 21% |
| Student > Master | 12 | 11% |
| Other | 9 | 8% |
| Student > Doctoral Student | 6 | 5% |
| Other | 16 | 14% |
| Unknown | 15 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 25% |
| Agricultural and Biological Sciences | 24 | 22% |
| Biochemistry, Genetics and Molecular Biology | 16 | 14% |
| Engineering | 5 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 4% |
| Other | 14 | 13% |
| Unknown | 20 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 14 June 2022.
All research outputs
#4,157,794
of 25,374,917 outputs
Outputs from Breast Cancer Research
#486
of 2,053 outputs
Outputs of similar age
#40,666
of 286,823 outputs
Outputs of similar age from Breast Cancer Research
#3
of 22 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,053 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 well, scoring higher than 76% 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 286,823 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 85% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.