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 |
Deep learning for prediction of population health costs
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, February 2022
|
| DOI | 10.1186/s12911-021-01743-z |
| Pubmed ID | |
| Authors |
Philipp Drewe-Boss, Dirk Enders, Jochen Walker, Uwe Ohler |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 12% |
| Student > Ph. D. Student | 4 | 7% |
| Unspecified | 3 | 5% |
| Researcher | 3 | 5% |
| Student > Doctoral Student | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 32 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 7% |
| Unspecified | 3 | 5% |
| Engineering | 3 | 5% |
| Business, Management and Accounting | 2 | 4% |
| Medicine and Dentistry | 2 | 4% |
| Other | 7 | 12% |
| Unknown | 36 | 63% |
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 18 April 2022.
All research outputs
#15,857,708
of 23,563,389 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,343
of 2,027 outputs
Outputs of similar age
#287,949
of 514,302 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#28
of 56 outputs
Altmetric has tracked 23,563,389 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,027 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 24th percentile – i.e., 24% 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 514,302 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.