The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 |
A New Model for Caries Risk Prediction in Teenagers Using a Machine Learning Algorithm Based on Environmental and Genetic Factors
|
|---|---|
| Published in |
Frontiers in Genetics, March 2021
|
| DOI | 10.3389/fgene.2021.636867 |
| Pubmed ID | |
| Authors |
Liangyue Pang, Ketian Wang, Ye Tao, Qinghui Zhi, Jianming Zhang, Huancai Lin |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Saudi Arabia | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 11% |
| Student > Master | 4 | 7% |
| Researcher | 4 | 7% |
| Student > Bachelor | 3 | 5% |
| Student > Doctoral Student | 2 | 4% |
| Other | 3 | 5% |
| Unknown | 33 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 20% |
| Computer Science | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Unspecified | 1 | 2% |
| Materials Science | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 36 | 65% |
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 17 April 2021.
All research outputs
#13,744,083
of 23,301,510 outputs
Outputs from Frontiers in Genetics
#3,354
of 12,314 outputs
Outputs of similar age
#205,843
of 422,741 outputs
Outputs of similar age from Frontiers in Genetics
#134
of 511 outputs
Altmetric has tracked 23,301,510 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,314 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 70% 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 422,741 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 511 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 71% of its contemporaries.