| Title |
Predicting the Extent of Nodal Disease in Early-Stage Breast Cancer
|
|---|---|
| Published in |
Annals of Surgical Oncology, May 2014
|
| DOI | 10.1245/s10434-014-3813-4 |
| Pubmed ID | |
| Authors |
Abigail S. Caudle, Henry M. Kuerer, Huong T. Le-Petross, Wei Yang, Min Yi, Isabelle Bedrosian, Savitri Krishnamurthy, Bruno D. Fornage, Kelly K. Hunt, Elizabeth A. Mittendorf |
| Abstract |
The role of regional nodal ultrasound (US) has been questioned since publication of the American College of Surgeons Oncology Group (ACOSOG) Z0011 data. The goal of this study was to determine if imaging and clinicopathologic features could predict the extent of axillary nodal involvement in breast cancer. |
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 % |
|---|---|---|
| Peru | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 2% |
| Unknown | 51 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 9 | 17% |
| Researcher | 7 | 13% |
| Student > Ph. D. Student | 6 | 12% |
| Student > Master | 5 | 10% |
| Student > Bachelor | 4 | 8% |
| Other | 7 | 13% |
| Unknown | 14 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 52% |
| Business, Management and Accounting | 1 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Economics, Econometrics and Finance | 1 | 2% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 21 | 40% |
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 10 June 2014.
All research outputs
#15,301,754
of 22,757,090 outputs
Outputs from Annals of Surgical Oncology
#4,362
of 6,446 outputs
Outputs of similar age
#132,670
of 226,407 outputs
Outputs of similar age from Annals of Surgical Oncology
#39
of 88 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,446 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 25th percentile – i.e., 25% of its peers scored the same or lower than it.
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 226,407 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.