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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A CT-based radiomics nomogram for differentiation of focal nodular hyperplasia from hepatocellular carcinoma in the non-cirrhotic liver
|
|---|---|
| Published in |
Cancer Imaging, February 2020
|
| DOI | 10.1186/s40644-020-00297-z |
| Pubmed ID | |
| Authors |
Pei Nie, Guangjie Yang, Jian Guo, Jingjing Chen, Xiaoli Li, Qinglian Ji, Jie Wu, Jingjing Cui, Wenjian Xu |
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 States | 1 | 50% |
| United Kingdom | 1 | 50% |
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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 26% |
| Student > Bachelor | 4 | 11% |
| Other | 4 | 11% |
| Unspecified | 3 | 9% |
| Student > Ph. D. Student | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 9 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 31% |
| Biochemistry, Genetics and Molecular Biology | 4 | 11% |
| Unspecified | 3 | 9% |
| Physics and Astronomy | 2 | 6% |
| Mathematics | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 11 | 31% |
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 01 June 2020.
All research outputs
#16,591,848
of 25,387,668 outputs
Outputs from Cancer Imaging
#269
of 674 outputs
Outputs of similar age
#229,079
of 384,401 outputs
Outputs of similar age from Cancer Imaging
#8
of 19 outputs
Altmetric has tracked 25,387,668 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 384,401 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 19 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 52% of its contemporaries.