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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Nuclear medicine technologists are able to accurately determine when a myocardial perfusion rest study is necessary
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, September 2012
|
| DOI | 10.1186/1472-6947-12-97 |
| Pubmed ID | |
| Authors |
Elin Trägårdh, Liselott Johansson, Camilla Olofsson, Sven Valind, Lars Edenbrandt |
| Abstract |
In myocardial perfusion scintigraphy (MPS), typically a stress and a rest study is performed. If the stress study is considered normal, there is no need for a subsequent rest study. The aim of the study was to determine whether nuclear medicine technologists are able to assess the necessity of a rest study. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 67% |
| United States | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 27% |
| Student > Bachelor | 3 | 14% |
| Researcher | 3 | 14% |
| Student > Ph. D. Student | 3 | 14% |
| Lecturer | 2 | 9% |
| Other | 3 | 14% |
| Unknown | 2 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 23% |
| Economics, Econometrics and Finance | 3 | 14% |
| Nursing and Health Professions | 3 | 14% |
| Computer Science | 2 | 9% |
| Sports and Recreations | 2 | 9% |
| Other | 4 | 18% |
| Unknown | 3 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 12 September 2012.
All research outputs
#14,150,222
of 22,675,759 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,102
of 1,978 outputs
Outputs of similar age
#98,055
of 169,085 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#32
of 42 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,978 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 38th percentile – i.e., 38% 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 169,085 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
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 is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.