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Mendeley readers
Attention Score in Context
| Title |
Analysis of Primary Care Computerized Medical Records (CMR) Data With Deep Autoencoders (DAE)
|
|---|---|
| Published in |
Frontiers in Applied Mathematics and Statistics, August 2019
|
| DOI | 10.3389/fams.2019.00042 |
| Authors |
Spencer A. Thomas, Nadia A. Smith, Valerie Livina, Ivelina Yonova, Rebecca Webb, Simon de Lusignan |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 38% |
| Student > Ph. D. Student | 3 | 23% |
| Professor | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 3 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 23% |
| Mathematics | 2 | 15% |
| Environmental Science | 1 | 8% |
| Business, Management and Accounting | 1 | 8% |
| Medicine and Dentistry | 1 | 8% |
| Other | 2 | 15% |
| Unknown | 3 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 08 March 2022.
All research outputs
#13,221,314
of 23,299,593 outputs
Outputs from Frontiers in Applied Mathematics and Statistics
#64
of 347 outputs
Outputs of similar age
#160,948
of 345,564 outputs
Outputs of similar age from Frontiers in Applied Mathematics and Statistics
#6
of 14 outputs
Altmetric has tracked 23,299,593 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 347 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 80% 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 345,564 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 52% of its contemporaries.
We're also able to compare this research output to 14 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 50% of its contemporaries.