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.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Dual processing model of medical decision-making
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, September 2012
|
| DOI | 10.1186/1472-6947-12-94 |
| Pubmed ID | |
| Authors |
Benjamin Djulbegovic, Iztok Hozo, Jason Beckstead, Athanasios Tsalatsanis, Stephen G Pauker |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 22% |
| United States | 1 | 11% |
| United Kingdom | 1 | 11% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Practitioners (doctors, other healthcare professionals) | 3 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 251 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 2% |
| Germany | 2 | <1% |
| United States | 2 | <1% |
| Mexico | 1 | <1% |
| Unknown | 242 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 39 | 16% |
| Student > Master | 35 | 14% |
| Researcher | 29 | 12% |
| Student > Ph. D. Student | 25 | 10% |
| Student > Doctoral Student | 14 | 6% |
| Other | 54 | 22% |
| Unknown | 55 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 73 | 29% |
| Psychology | 26 | 10% |
| Nursing and Health Professions | 24 | 10% |
| Computer Science | 10 | 4% |
| Social Sciences | 9 | 4% |
| Other | 46 | 18% |
| Unknown | 63 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 10 July 2024.
All research outputs
#1,888,682
of 26,377,159 outputs
Outputs from BMC Medical Informatics and Decision Making
#96
of 2,193 outputs
Outputs of similar age
#11,624
of 189,127 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#2
of 42 outputs
Altmetric has tracked 26,377,159 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,193 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 95% 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 189,127 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 42 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 95% of its contemporaries.