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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning models predict the emergence of depression in Argentinean college students during periods of COVID-19 quarantine
|
|---|---|
| Published in |
Frontiers in Psychiatry, April 2024
|
| DOI | 10.3389/fpsyt.2024.1376784 |
| Pubmed ID | |
| Authors |
Lorena Cecilia López Steinmetz, Margarita Sison, Rustam Zhumagambetov, Juan Carlos Godoy, Stefan Haufe |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 50% |
| Argentina | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 29% |
| Unspecified | 2 | 14% |
| Student > Doctoral Student | 1 | 7% |
| Student > Master | 1 | 7% |
| Unknown | 6 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 29% |
| Unspecified | 2 | 14% |
| Computer Science | 1 | 7% |
| Nursing and Health Professions | 1 | 7% |
| Unknown | 6 | 43% |
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 07 June 2024.
All research outputs
#8,830,582
of 26,096,076 outputs
Outputs from Frontiers in Psychiatry
#4,300
of 12,981 outputs
Outputs of similar age
#103,702
of 315,412 outputs
Outputs of similar age from Frontiers in Psychiatry
#69
of 315 outputs
Altmetric has tracked 26,096,076 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,981 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one has gotten more attention than average, scoring higher than 66% 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 315,412 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 65% of its contemporaries.
We're also able to compare this research output to 315 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.