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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genetic and epigenetic analysis of putative breast cancer stem cell models
|
|---|---|
| Published in |
BMC Cancer, July 2013
|
| DOI | 10.1186/1471-2407-13-358 |
| Pubmed ID | |
| Authors |
Marija Balic, Daniela Schwarzenbacher, Stefanie Stanzer, Ellen Heitzer, Martina Auer, Jochen B Geigl, Richard J Cote, Ram H Datar, Nadia Dandachi |
| Abstract |
Cancer stem cell model hypothesizes existence of a small proportion of tumor cells capable of sustaining tumor formation, self-renewal and differentiation. In breast cancer, these cells were found to be associated with CD44⁺CD24-low and ALDH⁺ phenotype. Our study was performed to evaluate the suitability of current approaches for breast cancer stem cell analyses to evaluate heterogeneity of breast cancer cells through their extensive genetic and epigenetic characterization. |
X Demographics
The data shown below were collected from the profiles of 15 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 Kingdom | 2 | 13% |
| India | 1 | 7% |
| Australia | 1 | 7% |
| United States | 1 | 7% |
| Spain | 1 | 7% |
| Unknown | 9 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 80% |
| Scientists | 1 | 7% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Egypt | 2 | 5% |
| United States | 2 | 5% |
| Mexico | 1 | 2% |
| Unknown | 38 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 21% |
| Student > Master | 7 | 16% |
| Researcher | 6 | 14% |
| Student > Bachelor | 5 | 12% |
| Student > Doctoral Student | 5 | 12% |
| Other | 9 | 21% |
| Unknown | 2 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 37% |
| Medicine and Dentistry | 12 | 28% |
| Biochemistry, Genetics and Molecular Biology | 7 | 16% |
| Environmental Science | 2 | 5% |
| Nursing and Health Professions | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 3 | 7% |
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 28 July 2015.
All research outputs
#3,784,170
of 23,881,329 outputs
Outputs from BMC Cancer
#879
of 8,483 outputs
Outputs of similar age
#31,796
of 200,879 outputs
Outputs of similar age from BMC Cancer
#6
of 67 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,483 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 90% 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 200,879 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 84% of its contemporaries.
We're also able to compare this research output to 67 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 92% of its contemporaries.