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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automated classification of solid renal masses on contrast-enhanced computed tomography images using convolutional neural network with decision fusion
|
|---|---|
| Published in |
European Radiology, April 2020
|
| DOI | 10.1007/s00330-020-06787-9 |
| Pubmed ID | |
| Authors |
Fatemeh Zabihollahy, Nicola Schieda, Satheesh Krishna, Eranga Ukwatta |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 3 | 60% |
| Netherlands | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 40% |
| Practitioners (doctors, other healthcare professionals) | 2 | 40% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 13% |
| Student > Doctoral Student | 6 | 10% |
| Student > Ph. D. Student | 5 | 8% |
| Student > Bachelor | 3 | 5% |
| Other | 2 | 3% |
| Other | 7 | 12% |
| Unknown | 29 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 27% |
| Computer Science | 5 | 8% |
| Engineering | 3 | 5% |
| Nursing and Health Professions | 1 | 2% |
| Unspecified | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 33 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 May 2020.
All research outputs
#13,321,683
of 23,204,238 outputs
Outputs from European Radiology
#1,961
of 4,201 outputs
Outputs of similar age
#180,873
of 377,836 outputs
Outputs of similar age from European Radiology
#77
of 139 outputs
Altmetric has tracked 23,204,238 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,201 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 52% 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 377,836 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 51% of its contemporaries.
We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.