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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development and validation of a meta-learner for combining statistical and machine learning prediction models in individuals with depression
|
|---|---|
| Published in |
BMC Psychiatry, May 2022
|
| DOI | 10.1186/s12888-022-03986-0 |
| Pubmed ID | |
| Authors |
Qiang Liu, Georgia Salanti, Franco De Crescenzo, Edoardo Giuseppe Ostinelli, Zhenpeng Li, Anneka Tomlinson, Andrea Cipriani, Orestis Efthimiou |
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 Kingdom | 2 | 29% |
| Japan | 1 | 14% |
| France | 1 | 14% |
| United States | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 13% |
| Lecturer | 2 | 9% |
| Researcher | 2 | 9% |
| Student > Bachelor | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 12 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 3 | 13% |
| Business, Management and Accounting | 2 | 9% |
| Computer Science | 2 | 9% |
| Immunology and Microbiology | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 12 | 52% |
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 09 February 2023.
All research outputs
#8,466,751
of 25,271,884 outputs
Outputs from BMC Psychiatry
#2,966
of 5,399 outputs
Outputs of similar age
#159,071
of 437,127 outputs
Outputs of similar age from BMC Psychiatry
#66
of 142 outputs
Altmetric has tracked 25,271,884 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 5,399 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one is in the 43rd percentile – i.e., 43% 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 437,127 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 60% of its contemporaries.
We're also able to compare this research output to 142 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 52% of its contemporaries.