| Title |
Development of a prediction model for pancreatic cancer in patients with type 2 diabetes using logistic regression and artificial neural network models
|
|---|---|
| Published in |
Cancer Management and Research, November 2018
|
| DOI | 10.2147/cmar.s180791 |
| Pubmed ID | |
| Authors |
Meng Hsuen Hsieh, Li-Min Sun, Cheng-Li Lin, Meng-Ju Hsieh, Chung-Y Hsu, Chia-Hung Kao |
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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 13% |
| Student > Ph. D. Student | 6 | 11% |
| Unspecified | 4 | 7% |
| Student > Bachelor | 4 | 7% |
| Professor | 2 | 4% |
| Other | 8 | 15% |
| Unknown | 23 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 15% |
| Computer Science | 4 | 7% |
| Unspecified | 4 | 7% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 9 | 17% |
| Unknown | 24 | 44% |
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 24 March 2023.
All research outputs
#15,337,507
of 23,578,918 outputs
Outputs from Cancer Management and Research
#644
of 2,024 outputs
Outputs of similar age
#209,589
of 352,183 outputs
Outputs of similar age from Cancer Management and Research
#44
of 122 outputs
Altmetric has tracked 23,578,918 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,024 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 63% 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 352,183 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 122 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 60% of its contemporaries.