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Mendeley readers
Attention Score in Context
| Title |
An ontology-based exploration of the concepts and relationships in the activities and participation component of the international classification of functioning, disability and health
|
|---|---|
| Published in |
Journal of Biomedical Semantics, February 2012
|
| DOI | 10.1186/2041-1480-3-1 |
| Pubmed ID | |
| Authors |
Vincenzo Della Mea, Andrea Simoncello |
| Abstract |
The International Classification of Functioning, Disability and Health (ICF) is a classification of health and health-related issues, aimed at describing and measuring health and disability at both individual and population levels. Here we discuss a preliminary qualitative and quantitative analysis of the relationships used in the Activities and Participation component of ICF, and a preliminary mapping to SUMO (Suggested Upper Merged Ontology) concepts. The aim of the analysis is to identify potential logical problems within this component of ICF, and to understand whether activities and participation might be defined more formally than in the current version of ICF. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Sweden | 1 | 33% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Italy | 1 | 3% |
| Unknown | 35 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 30% |
| Student > Doctoral Student | 5 | 14% |
| Student > Ph. D. Student | 5 | 14% |
| Student > Bachelor | 3 | 8% |
| Other | 2 | 5% |
| Other | 5 | 14% |
| Unknown | 6 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 27% |
| Nursing and Health Professions | 5 | 14% |
| Agricultural and Biological Sciences | 4 | 11% |
| Engineering | 3 | 8% |
| Medicine and Dentistry | 3 | 8% |
| Other | 6 | 16% |
| Unknown | 6 | 16% |
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 31 December 2021.
All research outputs
#7,355,485
of 25,373,627 outputs
Outputs from Journal of Biomedical Semantics
#125
of 368 outputs
Outputs of similar age
#46,445
of 168,037 outputs
Outputs of similar age from Journal of Biomedical Semantics
#3
of 3 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 368 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 64% 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 168,037 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 70% 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.