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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Clinical Quantification of Myocardial Blood Flow Using PET: Joint Position Paper of the SNMMI Cardiovascular Council and the ASNC
|
|---|---|
| Published in |
Journal of Nuclear Cardiology, February 2018
|
| DOI | 10.1007/s12350-017-1110-x |
| Pubmed ID | |
| Authors |
Venkatesh L Murthy, Timothy M Bateman, Rob S Beanlands, Daniel S Berman, Salvador Borges-Neto, Panithaya Chareonthaitawee, Manuel D Cerqueira, Robert A deKemp, E Gordon DePuey, Vasken Dilsizian, Sharmila Dorbala, Edward P Ficaro, Ernest V Garcia, Henry Gewirtz, Gary V Heller, Howard C Lewin, Saurabh Malhotra, April Mann, Terrence D Ruddy, Thomas H Schindler, Ronald G Schwartz, Piotr J Slomka, Prem Soman, Marcelo F Di Carli, Andrew Einstein, Raymond Russell, James R Corbett |
X Demographics
The data shown below were collected from the profiles of 24 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 | 9 | 38% |
| United Kingdom | 3 | 13% |
| Sweden | 1 | 4% |
| Mexico | 1 | 4% |
| Australia | 1 | 4% |
| Saudi Arabia | 1 | 4% |
| Brazil | 1 | 4% |
| Netherlands | 1 | 4% |
| Unknown | 6 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 46% |
| Practitioners (doctors, other healthcare professionals) | 6 | 25% |
| Scientists | 6 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 91 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 16% |
| Researcher | 14 | 15% |
| Other | 8 | 9% |
| Student > Master | 6 | 7% |
| Professor | 5 | 5% |
| Other | 16 | 18% |
| Unknown | 27 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 33 | 36% |
| Engineering | 11 | 12% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Physics and Astronomy | 2 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
| Other | 9 | 10% |
| Unknown | 31 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 52. 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 August 2023.
All research outputs
#820,083
of 26,017,215 outputs
Outputs from Journal of Nuclear Cardiology
#19
of 2,054 outputs
Outputs of similar age
#19,097
of 455,341 outputs
Outputs of similar age from Journal of Nuclear Cardiology
#1
of 48 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,054 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 99% 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 455,341 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 95% of its contemporaries.
We're also able to compare this research output to 48 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 97% of its contemporaries.