| Title |
Developing a model for understanding patient collection of observations of daily living: a qualitative meta-synthesis of the Project HealthDesign program
|
|---|---|
| Published in |
Personal and Ubiquitous Computing, August 2014
|
| DOI | 10.1007/s00779-014-0804-1 |
| Pubmed ID | |
| Authors |
Deborah J. Cohen, Sara R. Keller, Gillian R. Hayes, David A. Dorr, Joan S. Ash, Dean F. Sittig |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 1% |
| Netherlands | 1 | 1% |
| Unknown | 78 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 21% |
| Student > Master | 8 | 10% |
| Student > Doctoral Student | 8 | 10% |
| Student > Bachelor | 6 | 8% |
| Researcher | 6 | 8% |
| Other | 16 | 20% |
| Unknown | 19 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 28 | 35% |
| Medicine and Dentistry | 14 | 18% |
| Social Sciences | 5 | 6% |
| Nursing and Health Professions | 4 | 5% |
| Psychology | 2 | 3% |
| Other | 7 | 9% |
| Unknown | 20 | 25% |
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 28 July 2015.
All research outputs
#15,889,940
of 24,208,207 outputs
Outputs from Personal and Ubiquitous Computing
#506
of 1,212 outputs
Outputs of similar age
#133,521
of 239,367 outputs
Outputs of similar age from Personal and Ubiquitous Computing
#13
of 48 outputs
Altmetric has tracked 24,208,207 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,212 research outputs from this source. They receive a mean Attention Score of 2.8. This one has gotten more attention than average, scoring higher than 56% 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 239,367 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.