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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Listening to Mental Health Crisis Needs at Scale: Using Natural Language Processing to Understand and Evaluate a Mental Health Crisis Text Messaging Service
|
|---|---|
| Published in |
Frontiers in Digital Health, December 2021
|
| DOI | 10.3389/fdgth.2021.779091 |
| Pubmed ID | |
| Authors |
Zhaolu Liu, Robert L. Peach, Emma L. Lawrance, Ariele Noble, Mark A. Ungless, Mauricio Barahona |
X Demographics
The data shown below were collected from the profiles of 13 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 | 6 | 46% |
| France | 1 | 8% |
| United States | 1 | 8% |
| Unknown | 5 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 11% |
| Unspecified | 2 | 7% |
| Lecturer | 2 | 7% |
| Professor | 1 | 4% |
| Professor > Associate Professor | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 17 | 63% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 11% |
| Computer Science | 2 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Mathematics | 1 | 4% |
| Psychology | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 17 | 63% |
Attention Score in Context
This research output has an Altmetric Attention Score of 92. 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 28 March 2022.
All research outputs
#467,582
of 25,547,904 outputs
Outputs from Frontiers in Digital Health
#16
of 843 outputs
Outputs of similar age
#11,994
of 514,889 outputs
Outputs of similar age from Frontiers in Digital Health
#2
of 64 outputs
Altmetric has tracked 25,547,904 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 843 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one has done particularly well, scoring higher than 98% 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 514,889 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.