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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MRI radiomics for early prediction of response to vaccine therapy in a transgenic mouse model of pancreatic ductal adenocarcinoma
|
|---|---|
| Published in |
Journal of Translational Medicine, February 2020
|
| DOI | 10.1186/s12967-020-02246-7 |
| Pubmed ID | |
| Authors |
Aydin Eresen, Jia Yang, Junjie Shangguan, Yu Li, Su Hu, Chong Sun, Yury Velichko, Vahid Yaghmai, Al B. Benson, Zhuoli Zhang |
X Demographics
The data shown below were collected from the profiles of 7 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 | 43% |
| Canada | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 20% |
| Student > Postgraduate | 4 | 13% |
| Student > Bachelor | 3 | 10% |
| Student > Master | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Other | 3 | 10% |
| Unknown | 8 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 23% |
| Biochemistry, Genetics and Molecular Biology | 3 | 10% |
| Computer Science | 3 | 10% |
| Physics and Astronomy | 2 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 11 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 08 April 2020.
All research outputs
#6,252,515
of 23,192,960 outputs
Outputs from Journal of Translational Medicine
#950
of 4,077 outputs
Outputs of similar age
#134,764
of 455,714 outputs
Outputs of similar age from Journal of Translational Medicine
#22
of 78 outputs
Altmetric has tracked 23,192,960 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,077 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 76% 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 455,714 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 78 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 71% of its contemporaries.