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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Radiomics models for diagnosing microvascular invasion in hepatocellular carcinoma: which model is the best model?
|
|---|---|
| Published in |
Cancer Imaging, August 2019
|
| DOI | 10.1186/s40644-019-0249-x |
| Pubmed ID | |
| Authors |
Ming Ni, Xiaoming Zhou, Qian Lv, Zhiming Li, Yuanxiang Gao, Yongqi Tan, Jihua Liu, Fang Liu, Haiyang Yu, Linlin Jiao, Gang Wang |
X Demographics
The data shown below were collected from the profiles of 2 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 Kingdom | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
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 % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 4 | 14% |
| Student > Ph. D. Student | 3 | 10% |
| Student > Master | 2 | 7% |
| Unspecified | 1 | 3% |
| Student > Bachelor | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 15 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 24% |
| Computer Science | 2 | 7% |
| Unspecified | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Neuroscience | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 16 | 55% |
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 05 September 2019.
All research outputs
#16,591,848
of 25,385,509 outputs
Outputs from Cancer Imaging
#269
of 674 outputs
Outputs of similar age
#208,795
of 349,735 outputs
Outputs of similar age from Cancer Imaging
#7
of 15 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 674 research outputs from this source. They receive a mean Attention Score of 2.4. This one has gotten more attention than average, scoring higher than 56% 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 349,735 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 15 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.