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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Structural Features Related to Affective Instability Correctly Classify Patients With Borderline Personality Disorder. A Supervised Machine Learning Approach
|
|---|---|
| Published in |
Frontiers in Psychiatry, February 2022
|
| DOI | 10.3389/fpsyt.2022.804440 |
| Pubmed ID | |
| Authors |
Alessandro Grecucci, Gaia Lapomarda, Irene Messina, Bianca Monachesi, Sara Sorella, Roma Siugzdaite |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 2 | 50% |
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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 12% |
| Researcher | 3 | 12% |
| Student > Ph. D. Student | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Student > Master | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 14 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 5 | 20% |
| Unspecified | 3 | 12% |
| Computer Science | 1 | 4% |
| Engineering | 1 | 4% |
| Unknown | 15 | 60% |
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 27 October 2022.
All research outputs
#12,731,053
of 22,986,950 outputs
Outputs from Frontiers in Psychiatry
#3,388
of 10,123 outputs
Outputs of similar age
#163,657
of 438,926 outputs
Outputs of similar age from Frontiers in Psychiatry
#195
of 746 outputs
Altmetric has tracked 22,986,950 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,123 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. 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 438,926 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 62% of its contemporaries.
We're also able to compare this research output to 746 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 73% of its contemporaries.