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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine Learning Analysis of Electronic Nose in a Transdiagnostic Community Sample With a Streamlined Data Collection Approach: No Links Between Volatile Organic Compounds and Psychiatric Symptoms
|
|---|---|
| Published in |
Frontiers in Psychiatry, September 2020
|
| DOI | 10.3389/fpsyt.2020.503248 |
| Pubmed ID | |
| Authors |
Bohan Xu, Mahdi Moradi, Rayus Kuplicki, Jennifer L Stewart, Brett McKinney, Sandip Sen, Martin P Paulus |
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 % |
|---|---|---|
| Switzerland | 1 | 33% |
| Nigeria | 1 | 33% |
| Unknown | 1 | 33% |
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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 16% |
| Researcher | 6 | 16% |
| Student > Master | 5 | 13% |
| Student > Bachelor | 2 | 5% |
| Professor | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 12 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 16% |
| Psychology | 2 | 5% |
| Agricultural and Biological Sciences | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Linguistics | 1 | 3% |
| Other | 11 | 29% |
| Unknown | 14 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 01 October 2020.
All research outputs
#14,209,103
of 23,232,430 outputs
Outputs from Frontiers in Psychiatry
#4,467
of 10,358 outputs
Outputs of similar age
#200,525
of 376,450 outputs
Outputs of similar age from Frontiers in Psychiatry
#192
of 359 outputs
Altmetric has tracked 23,232,430 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,358 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 54% 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 376,450 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 359 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.