You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Attention Score in Context
Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution
Cancer Imaging, September 2019
Yu Ji, Hui Li, Alexandra V. Edwards, John Papaioannou, Wenjuan Ma, Peifang Liu, Maryellen L. Giger
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
|Members of the public||3||50%|
|Practitioners (doctors, other healthcare professionals)||2||33%|
|Science communicators (journalists, bloggers, editors)||1||17%|
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
|Readers by professional status||Count||As %|
|Student > Bachelor||7||8%|
|Student > Ph. D. Student||6||7%|
|Student > Postgraduate||5||6%|
|Student > Doctoral Student||4||5%|
|Readers by discipline||Count||As %|
|Medicine and Dentistry||15||17%|
|Nursing and Health Professions||3||3%|
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 30 October 2019.
All research outputs
of 23,163,378 outputs
Outputs from Cancer Imaging
of 607 outputs
Outputs of similar age
of 342,881 outputs
Outputs of similar age from Cancer Imaging
of 11 outputs
Altmetric has tracked 23,163,378 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 607 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done well, scoring higher than 82% 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 342,881 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% 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.