| Title |
Preventing Infant Maltreatment with Predictive Analytics: Applying Ethical Principles to Evidence-Based Child Welfare Policy
|
|---|---|
| Published in |
Journal of Family Violence, June 2019
|
| DOI | 10.1007/s10896-019-00074-y |
| Authors |
Paul Lanier, Maria Rodriguez, Sarah Verbiest, Katherine Bryant, Ting Guan, Adam Zolotor |
X Demographics
The data shown below were collected from the profiles of 7 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 | 86% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 2 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 17% |
| Student > Ph. D. Student | 12 | 17% |
| Student > Doctoral Student | 7 | 10% |
| Student > Bachelor | 6 | 9% |
| Researcher | 4 | 6% |
| Other | 5 | 7% |
| Unknown | 24 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 14 | 20% |
| Medicine and Dentistry | 7 | 10% |
| Computer Science | 7 | 10% |
| Psychology | 5 | 7% |
| Business, Management and Accounting | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 26 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 28 November 2022.
All research outputs
#3,497,945
of 25,311,095 outputs
Outputs from Journal of Family Violence
#220
of 1,330 outputs
Outputs of similar age
#67,474
of 360,626 outputs
Outputs of similar age from Journal of Family Violence
#6
of 27 outputs
Altmetric has tracked 25,311,095 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,330 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has done well, scoring higher than 83% 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 360,626 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.