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Mendeley readers
Attention Score in Context
| Title |
Predicting a local recurrence after breast-conserving therapy by gene expression profiling
|
|---|---|
| Published in |
Breast Cancer Research, October 2006
|
| DOI | 10.1186/bcr1614 |
| Pubmed ID | |
| Authors |
Dimitry SA Nuyten, Bas Kreike, Augustinus AM Hart, Jen-Tsan Ashley Chi, Julie B Sneddon, Lodewyk FA Wessels, Hans J Peterse, Harry Bartelink, Patrick O Brown, Howard Y Chang, Marc J van de Vijver |
| Abstract |
To tailor local treatment in breast cancer patients there is a need for predicting ipsilateral recurrences after breast-conserving therapy. After adequate treatment (excision with free margins and radiotherapy), young age and incompletely excised extensive intraductal component are predictors for local recurrence, but many local recurrences can still not be predicted. Here we have used gene expression profiling by microarray analysis to identify gene expression profiles that can help to predict local recurrence in individual patients. |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| France | 1 | 1% |
| Unknown | 71 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 19% |
| Researcher | 11 | 15% |
| Student > Master | 7 | 10% |
| Professor | 6 | 8% |
| Professor > Associate Professor | 6 | 8% |
| Other | 19 | 26% |
| Unknown | 10 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 37% |
| Agricultural and Biological Sciences | 12 | 16% |
| Biochemistry, Genetics and Molecular Biology | 8 | 11% |
| Computer Science | 4 | 5% |
| Chemical Engineering | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 13 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 12 February 2021.
All research outputs
#2,088,998
of 25,374,647 outputs
Outputs from Breast Cancer Research
#185
of 2,053 outputs
Outputs of similar age
#4,168
of 87,997 outputs
Outputs of similar age from Breast Cancer Research
#2
of 11 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% 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 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 87,997 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 95% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.