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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Oral anticoagulation and self-management: analysis of the factors that determine the feasibility of using self-testing and self-management in primary care
|
|---|---|
| Published in |
BMC Cardiovascular Disorders, August 2013
|
| DOI | 10.1186/1471-2261-13-59 |
| Pubmed ID | |
| Authors |
Eduardo Tamayo Aguirre, Itziar Vergara-Mitxeltorena, Edurne Uranga Saez del Burgo, Aitziber Ostiza-Irigoyen, Alejandro Garcia-Carro, Isabel Lopez-Fernandez, Arrate Galo-Anza |
| Abstract |
The skills of patients on oral anticoagulants are critical for achieving good outcomes with this treatment. Self-management, or the capacity of patients to control their INR level and adjust their treatment, is an effective strategy of treatment. Capacity of patients to self manage is determined by a range of factors. The identification of these factors would improve the design of self management programmes and in turn increase the number of patients able to self-manage. The objective of our study is to identify those factors that determine the ability of patients on oral anticoagulant therapy to achieve self-management of their treatment. |
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 % |
|---|---|---|
| Spain | 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | 8% |
| Unknown | 36 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 18% |
| Researcher | 5 | 13% |
| Student > Doctoral Student | 5 | 13% |
| Student > Postgraduate | 5 | 13% |
| Student > Bachelor | 3 | 8% |
| Other | 6 | 15% |
| Unknown | 8 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 31% |
| Nursing and Health Professions | 6 | 15% |
| Computer Science | 2 | 5% |
| Agricultural and Biological Sciences | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Other | 9 | 23% |
| Unknown | 8 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 02 September 2013.
All research outputs
#15,278,165
of 22,719,618 outputs
Outputs from BMC Cardiovascular Disorders
#823
of 1,595 outputs
Outputs of similar age
#122,768
of 198,941 outputs
Outputs of similar age from BMC Cardiovascular Disorders
#10
of 14 outputs
Altmetric has tracked 22,719,618 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,595 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 34th percentile – i.e., 34% 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 198,941 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.