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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Incorporating patient and family preferences into evidence-based medicine
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, December 2013
|
| DOI | 10.1186/1472-6947-13-s3-s6 |
| Pubmed ID | |
| Authors |
Laura A Siminoff |
| Abstract |
Clinicians are encouraged to practice evidence-based medicine (EBM) as well as patient-centered medicine. At times, these paradigms seem to be mutually exclusive and difficult to reconcile. It can become even more challenging when trying to include the preferences of the patient's family members. This paper discusses the basis for this quandary, providing examples of the real-world impact it has on diagnosis-seeking and treatment decision-making behaviors and how it might inform implementation of EBM practices. |
X Demographics
The data shown below were collected from the profiles of 9 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 States | 3 | 33% |
| France | 1 | 11% |
| Spain | 1 | 11% |
| India | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Practitioners (doctors, other healthcare professionals) | 3 | 33% |
| Scientists | 1 | 11% |
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 Kingdom | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 130 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 23 | 17% |
| Student > Master | 20 | 15% |
| Student > Postgraduate | 14 | 11% |
| Student > Doctoral Student | 12 | 9% |
| Researcher | 10 | 8% |
| Other | 30 | 23% |
| Unknown | 23 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 38 | 29% |
| Medicine and Dentistry | 33 | 25% |
| Social Sciences | 8 | 6% |
| Agricultural and Biological Sciences | 6 | 5% |
| Computer Science | 3 | 2% |
| Other | 15 | 11% |
| Unknown | 29 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 15 March 2023.
All research outputs
#4,550,370
of 24,976,442 outputs
Outputs from BMC Medical Informatics and Decision Making
#378
of 2,119 outputs
Outputs of similar age
#50,577
of 320,072 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#17
of 44 outputs
Altmetric has tracked 24,976,442 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,119 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 82% 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 320,072 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 84% of its contemporaries.
We're also able to compare this research output to 44 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 63% of its contemporaries.