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.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep Learning for Differentiating Benign From Malignant Parotid Lesions on MR Images
|
|---|---|
| Published in |
Frontiers in oncology, June 2021
|
| DOI | 10.3389/fonc.2021.632104 |
| Pubmed ID | |
| Authors |
Xianwu Xia, Bin Feng, Jiazhou Wang, Qianjin Hua, Yide Yang, Liang Sheng, Yonghua Mou, Weigang Hu |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 8% |
| Lecturer | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Student > Master | 1 | 4% |
| Student > Postgraduate | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 19 | 76% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 8% |
| Nursing and Health Professions | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Psychology | 1 | 4% |
| Design | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 19 | 76% |
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 12 July 2021.
All research outputs
#17,297,846
of 25,392,582 outputs
Outputs from Frontiers in oncology
#8,039
of 22,433 outputs
Outputs of similar age
#277,525
of 454,785 outputs
Outputs of similar age from Frontiers in oncology
#484
of 1,443 outputs
Altmetric has tracked 25,392,582 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 22,433 research outputs from this source. They receive a mean Attention Score of 3.0. 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 454,785 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,443 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 63% of its contemporaries.