You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
An artifıcial ıntelligence approach to automatic tooth detection and numbering in panoramic radiographs
|
|---|---|
| Published in |
BMC Medical Imaging, August 2021
|
| DOI | 10.1186/s12880-021-00656-7 |
| Pubmed ID | |
| Authors |
Elif Bilgir, İbrahim Şevki Bayrakdar, Özer Çelik, Kaan Orhan, Fatma Akkoca, Hande Sağlam, Alper Odabaş, Ahmet Faruk Aslan, Cemre Ozcetin, Musa Kıllı, Ingrid Rozylo-Kalinowska |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 84 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 8% |
| Professor > Associate Professor | 6 | 7% |
| Lecturer | 6 | 7% |
| Student > Ph. D. Student | 5 | 6% |
| Student > Master | 4 | 5% |
| Other | 11 | 13% |
| Unknown | 45 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 20% |
| Computer Science | 6 | 7% |
| Engineering | 5 | 6% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Nursing and Health Professions | 2 | 2% |
| Other | 3 | 4% |
| Unknown | 48 | 57% |
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 22 August 2021.
All research outputs
#18,809,260
of 23,310,485 outputs
Outputs from BMC Medical Imaging
#376
of 614 outputs
Outputs of similar age
#311,952
of 431,040 outputs
Outputs of similar age from BMC Medical Imaging
#7
of 12 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 614 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 25th percentile – i.e., 25% 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 431,040 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.