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Attention Score in Context
Title |
Multimorbidity Patterns in Primary Care: Interactions among Chronic Diseases Using Factor Analysis
|
---|---|
Published in |
PLOS ONE, February 2012
|
DOI | 10.1371/journal.pone.0032190 |
Pubmed ID | |
Authors |
Alexandra Prados-Torres, Beatriz Poblador-Plou, Amaia Calderón-Larrañaga, Luis Andrés Gimeno-Feliu, Francisca González-Rubio, Antonio Poncel-Falcó, Antoni Sicras-Mainar, José Tomás Alcalá-Nalvaiz |
Abstract |
The primary objective of this study was to identify the existence of chronic disease multimorbidity patterns in the primary care population, describing their clinical components and analysing how these patterns change and evolve over time both in women and men. The secondary objective of this study was to generate evidence regarding the pathophysiological processes underlying multimorbidity and to understand the interactions and synergies among the various diseases. |
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 % |
---|---|---|
Unknown | 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 380 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 5 | 1% |
United States | 3 | <1% |
Indonesia | 2 | <1% |
Netherlands | 2 | <1% |
Canada | 2 | <1% |
United Kingdom | 2 | <1% |
Sweden | 1 | <1% |
Finland | 1 | <1% |
India | 1 | <1% |
Other | 0 | 0% |
Unknown | 361 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 68 | 18% |
Researcher | 53 | 14% |
Student > Master | 53 | 14% |
Student > Postgraduate | 29 | 8% |
Student > Bachelor | 28 | 7% |
Other | 81 | 21% |
Unknown | 68 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 144 | 38% |
Nursing and Health Professions | 42 | 11% |
Social Sciences | 18 | 5% |
Psychology | 13 | 3% |
Computer Science | 12 | 3% |
Other | 55 | 14% |
Unknown | 96 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 November 2021.
All research outputs
#4,962,675
of 24,375,780 outputs
Outputs from PLOS ONE
#76,095
of 210,244 outputs
Outputs of similar age
#30,416
of 158,960 outputs
Outputs of similar age from PLOS ONE
#842
of 3,548 outputs
Altmetric has tracked 24,375,780 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 210,244 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has gotten more attention than average, scoring higher than 63% 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 158,960 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 80% of its contemporaries.
We're also able to compare this research output to 3,548 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.