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X Demographics
Mendeley readers
Attention Score in Context
Title |
Ultrasound real-time elastography can predict malignancy in BI-RADS®-US 3 lesions
|
---|---|
Published in |
BMC Cancer, March 2013
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DOI | 10.1186/1471-2407-13-159 |
Pubmed ID | |
Authors |
Sebastian Wojcinski, Esther Boehme, André Farrokh, Philipp Soergel, Friedrich Degenhardt, Peter Hillemanns |
Abstract |
Lesions of the breast that are classified BI-RADS®-US 3 by ultrasound are probably benign and observation is recommended, although malignancy may occasionally occur. In our study, we focus exclusively on BI-RADS®-US 3 lesions and hypothesize that sonoelastography as an adjunct to conventional ultrasound can identify a high-risk-group and a low-risk-group within these patients. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 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 % |
---|---|---|
United Kingdom | 1 | 2% |
United States | 1 | 2% |
Denmark | 1 | 2% |
Unknown | 49 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 17% |
Student > Bachelor | 7 | 13% |
Researcher | 5 | 10% |
Other | 4 | 8% |
Professor | 3 | 6% |
Other | 13 | 25% |
Unknown | 11 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 20 | 38% |
Engineering | 7 | 13% |
Nursing and Health Professions | 3 | 6% |
Computer Science | 1 | 2% |
Physics and Astronomy | 1 | 2% |
Other | 6 | 12% |
Unknown | 14 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 08 April 2013.
All research outputs
#16,046,973
of 25,382,360 outputs
Outputs from BMC Cancer
#3,763
of 8,954 outputs
Outputs of similar age
#124,348
of 210,414 outputs
Outputs of similar age from BMC Cancer
#66
of 101 outputs
Altmetric has tracked 25,382,360 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,954 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 54% 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 210,414 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.