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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exploring the usefulness of comprehensive care plans for children with medical complexity (CMC): a qualitative study
|
|---|---|
| Published in |
BMC Pediatrics, January 2013
|
| DOI | 10.1186/1471-2431-13-10 |
| Pubmed ID | |
| Authors |
Sherri Adams, Eyal Cohen, Sanjay Mahant, Jeremy N Friedman, Radha MacCulloch, David B Nicholas |
| Abstract |
The Medical Home model recommends that Children with Special Health Care Needs (CSHCN) receive a medical care plan, outlining the child's major medical issues and care needs to assist with care coordination. While care plans are a primary component of effective care coordination, the creation and maintenance of care plans is time, labor, and cost intensive, and the desired content of the care plan has not been studied. The purpose of this qualitative study was to understand the usefulness and desired content of comprehensive care plans by exploring the perceptions of parents and health care providers (HCPs) of children with medical complexity (CMC). |
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 % |
|---|---|---|
| United Kingdom | 1 | 25% |
| United States | 1 | 25% |
| Belgium | 1 | 25% |
| Unknown | 1 | 25% |
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 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Canada | 2 | 2% |
| Unknown | 128 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 11% |
| Other | 14 | 11% |
| Student > Bachelor | 14 | 11% |
| Researcher | 13 | 10% |
| Student > Master | 13 | 10% |
| Other | 40 | 30% |
| Unknown | 23 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 49 | 37% |
| Nursing and Health Professions | 21 | 16% |
| Social Sciences | 9 | 7% |
| Psychology | 5 | 4% |
| Engineering | 4 | 3% |
| Other | 18 | 14% |
| Unknown | 26 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 21 January 2013.
All research outputs
#13,259,840
of 23,881,329 outputs
Outputs from BMC Pediatrics
#1,557
of 3,143 outputs
Outputs of similar age
#157,856
of 290,580 outputs
Outputs of similar age from BMC Pediatrics
#20
of 36 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,143 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 49th percentile – i.e., 49% 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 290,580 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.