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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Joint spatial modeling to identify shared patterns among chronic related potentially preventable hospitalizations
|
|---|---|
| Published in |
BMC Medical Research Methodology, June 2014
|
| DOI | 10.1186/1471-2288-14-74 |
| Pubmed ID | |
| Authors |
Berta Ibañez-Beroiz, Julián Librero, Enrique Bernal-Delgado, Sandra García-Armesto, Silvia Villanueva-Ferragud, Salvador Peiró |
| Abstract |
Rates of Potentially Preventable Hospitalizations (PPH) are used to evaluate access of territorially delimited populations to high quality ambulatory care. A common geographic pattern of several PPH would reflect the performance of healthcare providers. This study is aimed at modeling jointly the geographical variation in six chronic PPH conditions in one Spanish Autonomous Community for describing common and discrepant patterns, and to assess the relative weight of the common pattern on each condition. |
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 % |
|---|---|---|
| Spain | 2 | 50% |
| Unknown | 2 | 50% |
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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 3% |
| Canada | 1 | 1% |
| Unknown | 67 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 19% |
| Student > Ph. D. Student | 12 | 17% |
| Student > Master | 11 | 16% |
| Student > Postgraduate | 5 | 7% |
| Student > Doctoral Student | 4 | 6% |
| Other | 15 | 21% |
| Unknown | 10 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 34% |
| Mathematics | 6 | 9% |
| Nursing and Health Professions | 6 | 9% |
| Social Sciences | 3 | 4% |
| Business, Management and Accounting | 2 | 3% |
| Other | 14 | 20% |
| Unknown | 15 | 21% |
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 17 April 2015.
All research outputs
#7,448,111
of 22,770,070 outputs
Outputs from BMC Medical Research Methodology
#1,086
of 2,010 outputs
Outputs of similar age
#73,506
of 228,091 outputs
Outputs of similar age from BMC Medical Research Methodology
#12
of 31 outputs
Altmetric has tracked 22,770,070 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 2,010 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 43rd percentile – i.e., 43% 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 228,091 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 55% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.