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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine Learning Approach Identified Multi-Platform Factors for Caries Prediction in Child-Mother Dyads
|
|---|---|
| Published in |
Frontiers in Cellular and Infection Microbiology, August 2021
|
| DOI | 10.3389/fcimb.2021.727630 |
| Pubmed ID | |
| Authors |
Tong Tong Wu, Jin Xiao, Michael B. Sohn, Kevin A. Fiscella, Christie Gilbert, Alex Grier, Ann L. Gill, Steve R. Gill |
X Demographics
The data shown below were collected from the profiles of 11 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 | 6 | 55% |
| United Kingdom | 1 | 9% |
| Switzerland | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 4 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 17% |
| Other | 2 | 8% |
| Student > Master | 2 | 8% |
| Student > Doctoral Student | 1 | 4% |
| Professor | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 11 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 33% |
| Unspecified | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Unknown | 13 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 29 September 2021.
All research outputs
#5,997,021
of 24,317,326 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#1,114
of 7,395 outputs
Outputs of similar age
#115,183
of 422,003 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#58
of 350 outputs
Altmetric has tracked 24,317,326 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,395 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 84% 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 422,003 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 72% of its contemporaries.
We're also able to compare this research output to 350 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.