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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A simple and reproducible breast cancer prognostic test
|
|---|---|
| Published in |
BMC Genomics, May 2013
|
| DOI | 10.1186/1471-2164-14-336 |
| Pubmed ID | |
| Authors |
Luigi Marchionni, Bahman Afsari, Donald Geman, Jeffrey T Leek |
| Abstract |
A small number of prognostic and predictive tests based on gene expression are currently offered as reference laboratory tests. In contrast to such success stories, a number of flaws and errors have recently been identified in other genomic-based predictors and the success rate for developing clinically useful genomic signatures is low. These errors have led to widespread concerns about the protocols for conducting and reporting of computational research. As a result, a need has emerged for a template for reproducible development of genomic signatures that incorporates full transparency, data sharing and statistical robustness. |
X Demographics
The data shown below were collected from the profiles of 10 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 | 2 | 20% |
| United Kingdom | 1 | 10% |
| Australia | 1 | 10% |
| France | 1 | 10% |
| Sweden | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 60% |
| Scientists | 3 | 30% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| Netherlands | 1 | <1% |
| France | 1 | <1% |
| Australia | 1 | <1% |
| Finland | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 97 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 22% |
| Student > Ph. D. Student | 16 | 15% |
| Student > Bachelor | 11 | 11% |
| Student > Master | 10 | 10% |
| Professor > Associate Professor | 8 | 8% |
| Other | 14 | 13% |
| Unknown | 22 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 20% |
| Biochemistry, Genetics and Molecular Biology | 15 | 14% |
| Medicine and Dentistry | 15 | 14% |
| Computer Science | 11 | 11% |
| Engineering | 4 | 4% |
| Other | 12 | 12% |
| Unknown | 26 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 29 June 2023.
All research outputs
#3,270,519
of 24,846,849 outputs
Outputs from BMC Genomics
#1,129
of 11,087 outputs
Outputs of similar age
#27,042
of 200,715 outputs
Outputs of similar age from BMC Genomics
#16
of 120 outputs
Altmetric has tracked 24,846,849 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,087 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 89% 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 200,715 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 86% of its contemporaries.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.