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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Use of Machine Learning and Artificial Intelligence Methods in Geriatric Mental Health Research Involving Electronic Health Record or Administrative Claims Data: A Systematic Review
|
|---|---|
| Published in |
Frontiers in Psychiatry, September 2021
|
| DOI | 10.3389/fpsyt.2021.738466 |
| Pubmed ID | |
| Authors |
Mohammad Chowdhury, Eddie Gasca Cervantes, Wai-Yip Chan, Dallas P. Seitz |
X Demographics
The data shown below were collected from the profiles of 6 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 | 1 | 17% |
| France | 1 | 17% |
| United Kingdom | 1 | 17% |
| Switzerland | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 14% |
| Student > Ph. D. Student | 5 | 10% |
| Student > Bachelor | 4 | 8% |
| Unspecified | 3 | 6% |
| Other | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 26 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 12% |
| Medicine and Dentistry | 5 | 10% |
| Unspecified | 3 | 6% |
| Nursing and Health Professions | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 28 | 56% |
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 October 2021.
All research outputs
#14,121,063
of 23,885,338 outputs
Outputs from Frontiers in Psychiatry
#4,368
of 11,130 outputs
Outputs of similar age
#191,156
of 421,386 outputs
Outputs of similar age from Frontiers in Psychiatry
#198
of 617 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,130 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has gotten more attention than average, scoring higher than 59% 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 421,386 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 54% of its contemporaries.
We're also able to compare this research output to 617 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 66% of its contemporaries.