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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identifying Epilepsy Based on Deep Learning Using DKI Images
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, November 2020
|
| DOI | 10.3389/fnhum.2020.590815 |
| Pubmed ID | |
| Authors |
Jianjun Huang, Jiahui Xu, Li Kang, Tijiang Zhang |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Spain | 1 | 33% |
| Switzerland | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 6% |
| Lecturer | 2 | 6% |
| Student > Doctoral Student | 2 | 6% |
| Lecturer > Senior Lecturer | 1 | 3% |
| Student > Bachelor | 1 | 3% |
| Other | 5 | 15% |
| Unknown | 20 | 61% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 12% |
| Computer Science | 3 | 9% |
| Physics and Astronomy | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Psychology | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 21 | 64% |
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 22 November 2020.
All research outputs
#15,123,930
of 23,263,851 outputs
Outputs from Frontiers in Human Neuroscience
#4,955
of 7,254 outputs
Outputs of similar age
#244,052
of 418,773 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#111
of 159 outputs
Altmetric has tracked 23,263,851 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,254 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 418,773 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 159 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.