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 |
Intelligent Therapy Assistant (ITA) for cognitive rehabilitation in patients with acquired brain injury
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, July 2014
|
| DOI | 10.1186/1472-6947-14-58 |
| Pubmed ID | |
| Authors |
Javier Solana, César Cáceres, Alberto García-Molina, Paloma Chausa, Eloy Opisso, Teresa Roig-Rovira, Ernestina Menasalvas, José M Tormos-Muñoz, Enrique J Gómez |
| Abstract |
This paper presents the design, development and first evaluation of an algorithm, named Intelligent Therapy Assistant (ITA), which automatically selects, configures and schedules rehabilitation tasks for patients with cognitive impairments after an episode of Acquired Brain Injury. The ITA is integrated in "Guttmann, Neuro Personal Trainer" (GNPT), a cognitive tele-rehabilitation platform that provides neuropsychological services. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 50% |
| India | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Spain | 1 | 1% |
| Korea, Republic of | 1 | 1% |
| Unknown | 92 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 19% |
| Student > Master | 13 | 14% |
| Student > Doctoral Student | 9 | 9% |
| Student > Bachelor | 8 | 8% |
| Researcher | 6 | 6% |
| Other | 22 | 23% |
| Unknown | 19 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 16 | 17% |
| Medicine and Dentistry | 15 | 16% |
| Computer Science | 12 | 13% |
| Neuroscience | 8 | 8% |
| Nursing and Health Professions | 7 | 7% |
| Other | 12 | 13% |
| Unknown | 25 | 26% |
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 10 September 2014.
All research outputs
#13,917,225
of 22,758,963 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,065
of 1,985 outputs
Outputs of similar age
#115,005
of 228,925 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#25
of 38 outputs
Altmetric has tracked 22,758,963 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 1,985 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 44th percentile – i.e., 44% 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 228,925 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.