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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An Explainable Intelligence Driven Query Prioritization Using Balanced Decision Tree Approach for Multi-Level Psychological Disorders Assessment
|
|---|---|
| Published in |
Frontiers in Public Health, December 2021
|
| DOI | 10.3389/fpubh.2021.795007 |
| Pubmed ID | |
| Authors |
Sushruta Mishra, Hrudaya Kumar Tripathy, Hiren Kumar Thakkar, Deepak Garg, Ketan Kotecha, Sharnil Pandya |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
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 % |
|---|---|---|
| Unspecified | 1 | 7% |
| Lecturer > Senior Lecturer | 1 | 7% |
| Lecturer | 1 | 7% |
| Student > Doctoral Student | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 8 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 7% |
| Computer Science | 1 | 7% |
| Psychology | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Design | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 9 | 64% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 03 January 2022.
All research outputs
#17,758,492
of 22,805,349 outputs
Outputs from Frontiers in Public Health
#4,917
of 9,798 outputs
Outputs of similar age
#315,728
of 468,632 outputs
Outputs of similar age from Frontiers in Public Health
#338
of 765 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,798 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one is in the 42nd percentile – i.e., 42% 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 468,632 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 765 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.