| Title |
A Model to Predict the Risk of Upgrade to Malignancy at Surgery in Atypical Breast Lesions Discovered on Percutaneous Biopsy Specimens
|
|---|---|
| Published in |
Annals of Surgical Oncology, May 2013
|
| DOI | 10.1245/s10434-013-2989-3 |
| Pubmed ID | |
| Authors |
Catherine Uzan, Chafika Mazouni, Malek Ferchiou, Laura Ciolovan, Corinne Balleyguier, Marie-Christine Mathieu, Philippe Vielh, Suzette Delaloge |
| Abstract |
When any atypical feature is identified on a percutaneous biopsy specimen of a suspicious breast lesion, surgical excision is mandatory, leading to unnecessary surgeries in 70-90% of the cases. The purpose of this study was to develop a model to predict the presence of cancer at surgery that would be applicable to all atypical lesions. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 4% |
| Unknown | 24 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 16% |
| Researcher | 4 | 16% |
| Student > Doctoral Student | 2 | 8% |
| Professor | 2 | 8% |
| Student > Postgraduate | 2 | 8% |
| Other | 6 | 24% |
| Unknown | 5 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 60% |
| Nursing and Health Professions | 2 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Arts and Humanities | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 5 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 09 August 2013.
All research outputs
#18,812,604
of 23,314,015 outputs
Outputs from Annals of Surgical Oncology
#5,107
of 6,610 outputs
Outputs of similar age
#147,899
of 196,529 outputs
Outputs of similar age from Annals of Surgical Oncology
#25
of 31 outputs
Altmetric has tracked 23,314,015 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,610 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.