The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
A survey on detecting mental disorders with natural language processing: Literature review, trends and challenges
|
---|---|
Published in |
Computer Science Review, August 2024
|
DOI | 10.1016/j.cosrev.2024.100654 |
Authors |
Arturo Montejo-Ráez, M. Dolores Molina-González, Salud María Jiménez-Zafra, Miguel Ángel García-Cumbreras, Luis Joaquín García-López |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 50% |
Scientists | 4 | 40% |
Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 8 | 42% |
Student > Ph. D. Student | 3 | 16% |
Student > Bachelor | 1 | 5% |
Researcher | 1 | 5% |
Professor > Associate Professor | 1 | 5% |
Other | 2 | 11% |
Unknown | 3 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 9 | 47% |
Computer Science | 3 | 16% |
Engineering | 2 | 11% |
Medicine and Dentistry | 1 | 5% |
Energy | 1 | 5% |
Other | 0 | 0% |
Unknown | 3 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 26 June 2024.
All research outputs
#4,301,085
of 26,196,613 outputs
Outputs from Computer Science Review
#20
of 153 outputs
Outputs of similar age
#3,825
of 29,892 outputs
Outputs of similar age from Computer Science Review
#1
of 3 outputs
Altmetric has tracked 26,196,613 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 153 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done well, scoring higher than 86% 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 29,892 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them