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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using deep learning to distinguish malignant from benign parotid tumors on plain computed tomography images
|
|---|---|
| Published in |
Frontiers in oncology, August 2022
|
| DOI | 10.3389/fonc.2022.919088 |
| Pubmed ID | |
| Authors |
Ziyang Hu, Baixin Wang, Xiao Pan, Dantong Cao, Antian Gao, Xudong Yang, Ying Chen, Zitong Lin |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
| Scientists | 1 | 33% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 1 | 11% |
| Student > Postgraduate | 1 | 11% |
| Unknown | 7 | 78% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 22% |
| Unknown | 7 | 78% |
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 20 August 2022.
All research outputs
#17,866,085
of 26,169,168 outputs
Outputs from Frontiers in oncology
#8,257
of 22,913 outputs
Outputs of similar age
#257,544
of 437,242 outputs
Outputs of similar age from Frontiers in oncology
#631
of 1,811 outputs
Altmetric has tracked 26,169,168 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,913 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 58% 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 437,242 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,811 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 58% of its contemporaries.