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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A deep learning approach for dental implant planning in cone-beam computed tomography images
|
|---|---|
| Published in |
BMC Medical Imaging, May 2021
|
| DOI | 10.1186/s12880-021-00618-z |
| Pubmed ID | |
| Authors |
Sevda Kurt Bayrakdar, Kaan Orhan, Ibrahim Sevki Bayrakdar, Elif Bilgir, Matvey Ezhov, Maxim Gusarev, Eugene Shumilov |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 158 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 8% |
| Student > Ph. D. Student | 10 | 6% |
| Lecturer | 7 | 4% |
| Student > Bachelor | 7 | 4% |
| Professor > Associate Professor | 6 | 4% |
| Other | 30 | 19% |
| Unknown | 86 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 45 | 28% |
| Engineering | 7 | 4% |
| Computer Science | 5 | 3% |
| Unspecified | 4 | 3% |
| Agricultural and Biological Sciences | 2 | 1% |
| Other | 6 | 4% |
| Unknown | 89 | 56% |
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 07 December 2023.
All research outputs
#8,118,118
of 25,059,640 outputs
Outputs from BMC Medical Imaging
#109
of 659 outputs
Outputs of similar age
#165,043
of 438,277 outputs
Outputs of similar age from BMC Medical Imaging
#2
of 18 outputs
Altmetric has tracked 25,059,640 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 659 research outputs from this source. They receive a mean Attention Score of 2.1. 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 438,277 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 61% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.