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Mendeley readers
Attention Score in Context
| Title |
Perfusion CT Estimates Photosensitizer Uptake and Biodistribution in a Rabbit Orthotopic Pancreatic Cancer Model A Pilot Study
|
|---|---|
| Published in |
Academic Radiology, February 2015
|
| DOI | 10.1016/j.acra.2014.12.014 |
| Pubmed ID | |
| Authors |
Jonathan T. Elliott, Kimberley S. Samkoe, Jason R. Gunn, Errol E. Stewart, Timothy B. Gardner, Kenneth M. Tichauer, Ting-Yim Lee, P. Jack Hoopes, Stephen P. Pereira, Tayyaba Hasan, Brian W. Pogue |
| Abstract |
It was hypothesized that perfusion computed tomography (CT), blood flow (BF), blood volume (BV), and vascular permeability surface area (PS) product parameters would be predictive of therapeutic anticancer agent uptake in pancreatic cancer, facilitating image-guided interpretation of human treatments. The hypothesis was tested in an orthotopic rabbit model of pancreatic cancer, by establishing the model, imaging with endoscopic ultrasound (EUS) and contrast CT, and spatially comparing the perfusion maps to the ex vivo uptake values of the injected photosensitizer, verteporfin. |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 3% |
| Unknown | 28 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 14% |
| Other | 3 | 10% |
| Student > Master | 3 | 10% |
| Professor | 3 | 10% |
| Librarian | 2 | 7% |
| Other | 8 | 28% |
| Unknown | 6 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 28% |
| Biochemistry, Genetics and Molecular Biology | 3 | 10% |
| Nursing and Health Professions | 2 | 7% |
| Engineering | 2 | 7% |
| Business, Management and Accounting | 1 | 3% |
| Other | 5 | 17% |
| Unknown | 8 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 13 April 2015.
All research outputs
#1,497,436
of 25,371,288 outputs
Outputs from Academic Radiology
#78
of 2,430 outputs
Outputs of similar age
#21,214
of 369,466 outputs
Outputs of similar age from Academic Radiology
#1
of 36 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,430 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 96% 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 369,466 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 94% of its contemporaries.
We're also able to compare this research output to 36 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.