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 |
Using the Analytic Hierarchy Process (AHP) to understand the most important factors to design and evaluate a telehealth system for Parkinson's disease
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, September 2015
|
| DOI | 10.1186/1472-6947-15-s3-s7 |
| Pubmed ID | |
| Authors |
Jorge Cancela, Giuseppe Fico, Maria T Arredondo Waldmeyer |
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 % |
|---|---|---|
| Spain | 1 | 25% |
| India | 1 | 25% |
| Unknown | 2 | 50% |
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 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Italy | 1 | <1% |
| Australia | 1 | <1% |
| Slovenia | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 134 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 15% |
| Researcher | 15 | 11% |
| Other | 14 | 10% |
| Student > Master | 13 | 9% |
| Student > Bachelor | 12 | 9% |
| Other | 26 | 19% |
| Unknown | 39 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 19 | 14% |
| Computer Science | 13 | 9% |
| Medicine and Dentistry | 12 | 9% |
| Nursing and Health Professions | 11 | 8% |
| Psychology | 8 | 6% |
| Other | 32 | 23% |
| Unknown | 45 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 23 May 2022.
All research outputs
#4,652,570
of 22,828,180 outputs
Outputs from BMC Medical Informatics and Decision Making
#422
of 1,988 outputs
Outputs of similar age
#60,176
of 267,781 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#8
of 37 outputs
Altmetric has tracked 22,828,180 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,988 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 78% 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 267,781 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 77% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.