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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
A Conversational Agent for an Online Mental Health Intervention
|
|---|---|
| Chapter number | 24 |
| Book title |
Brain Informatics and Health
|
| Published in |
Lecture notes in computer science, September 2016
|
| DOI | 10.1007/978-3-319-47103-7_24 |
| Book ISBNs |
978-3-31-947102-0, 978-3-31-947103-7
|
| Authors |
Danielle Elmasri, Anthony Maeder |
| Editors |
Giorgio A. Ascoli, Michael Hawrylycz, Hesham Ali, Deepak Khazanchi, Yong Shi |
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 % |
|---|---|---|
| United States | 2 | 50% |
| United Kingdom | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 114 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 17% |
| Student > Ph. D. Student | 17 | 15% |
| Student > Bachelor | 15 | 13% |
| Researcher | 11 | 10% |
| Student > Doctoral Student | 4 | 4% |
| Other | 15 | 13% |
| Unknown | 33 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 34 | 30% |
| Psychology | 9 | 8% |
| Medicine and Dentistry | 9 | 8% |
| Engineering | 6 | 5% |
| Business, Management and Accounting | 5 | 4% |
| Other | 14 | 12% |
| Unknown | 37 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 16 March 2017.
All research outputs
#7,176,658
of 22,890,496 outputs
Outputs from Lecture notes in computer science
#2,380
of 8,127 outputs
Outputs of similar age
#109,538
of 321,670 outputs
Outputs of similar age from Lecture notes in computer science
#163
of 546 outputs
Altmetric has tracked 22,890,496 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 70% 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 321,670 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 65% of its contemporaries.
We're also able to compare this research output to 546 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 69% of its contemporaries.