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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A program of nurse algorithm-guided care for adult patients with acute minor illnesses in primary care
|
|---|---|
| Published in |
BMC Primary Care, May 2013
|
| DOI | 10.1186/1471-2296-14-61 |
| Pubmed ID | |
| Authors |
Núria Fabrellas, Carmen Sánchez, Eulàlia Juvé, Eva Aurin, Dolors Monserrat, Esther Casanovas, Magali Urrea |
| Abstract |
Attention to patients with acute minor-illnesses requesting same-day consultation represents a major burden in primary care. The workload is assumed by general practitioners in many countries. A number of reports suggest that care to these patients may be provided, at in least in part, by nurses. However, there is scarce information with respect to the applicability of a program of nurse management for adult patients with acute minor-illnesses in large areas. The aim of this study is to assess the effectiveness of a program of nurse algorithm-guided care for adult patients with acute minor illnesses requesting same-day consultation in primary care in a largely populated area. |
X Demographics
The data shown below were collected from the profiles of 19 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 | 12 | 63% |
| Venezuela, Bolivarian Republic of | 1 | 5% |
| Unknown | 6 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 79% |
| Practitioners (doctors, other healthcare professionals) | 4 | 21% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Unknown | 94 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 17% |
| Researcher | 12 | 13% |
| Student > Bachelor | 11 | 11% |
| Student > Doctoral Student | 8 | 8% |
| Student > Postgraduate | 7 | 7% |
| Other | 21 | 22% |
| Unknown | 21 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 38 | 40% |
| Medicine and Dentistry | 20 | 21% |
| Social Sciences | 5 | 5% |
| Psychology | 2 | 2% |
| Engineering | 2 | 2% |
| Other | 7 | 7% |
| Unknown | 22 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 30 January 2015.
All research outputs
#3,009,073
of 25,373,627 outputs
Outputs from BMC Primary Care
#372
of 2,359 outputs
Outputs of similar age
#25,014
of 207,268 outputs
Outputs of similar age from BMC Primary Care
#3
of 39 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,359 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done well, scoring higher than 84% 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 207,268 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 87% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.