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Mendeley readers
Attention Score in Context
| Title |
Recommendations for the Use of ICT in Elderly Populations with Affective Disorders
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, November 2016
|
| DOI | 10.3389/fnagi.2016.00269 |
| Pubmed ID | |
| Authors |
Auriane Gros, David Bensamoun, Valeria Manera, Roxane Fabre, Anne-Marie Zacconi-Cauvin, Susanne Thummler, Michel Benoit, Philippe Robert, Renaud David |
| Abstract |
Objective: Affective disorders are frequently encountered among elderly populations, and the use of information and communication technologies (ICT) could provide an added value for their recognition and assessment in addition to current clinical methods. The diversity and lack of consensus in the emerging field of ICTs is however a strong limitation for their global use in daily practice. The aim of the present article is to provide recommendations for the use of ICTs for the assessment and management of affective disorders among elderly populations with or without dementia. Methods: A Delphi panel was organized to gather recommendations from experts in the domain. A set of initial general questions for the use of ICT in affective disorders was used to guide the discussion of the expert panel and to analyze the Strengths, Weaknesses, Opportunities, and Threats (SWOT) of employing ICT in elderly populations with affective disorders. Based on the results collected from this first round, a web survey was sent to local general practitioners (GPs) and to all interns in psychiatry in France. Results: The results of the first round revealed that ICT may offer very useful tools for practitioners involved in the diagnosis and management of affective disorders. However, the results of the web survey showed the interest to explain better to current and upcoming practitioners the utility of ICT especially for people living with dementia. |
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 % |
|---|---|---|
| Spain | 1 | 33% |
| France | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Unknown | 127 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 21 | 16% |
| Student > Bachelor | 18 | 14% |
| Student > Doctoral Student | 14 | 11% |
| Researcher | 12 | 9% |
| Student > Ph. D. Student | 8 | 6% |
| Other | 19 | 15% |
| Unknown | 36 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 13% |
| Psychology | 14 | 11% |
| Nursing and Health Professions | 11 | 9% |
| Computer Science | 8 | 6% |
| Neuroscience | 7 | 5% |
| Other | 29 | 23% |
| Unknown | 42 | 33% |
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 26 January 2017.
All research outputs
#15,122,103
of 25,299,129 outputs
Outputs from Frontiers in Aging Neuroscience
#3,491
of 5,464 outputs
Outputs of similar age
#174,070
of 320,503 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#56
of 87 outputs
Altmetric has tracked 25,299,129 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,464 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one is in the 34th percentile – i.e., 34% 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 320,503 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.