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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Hierarchical combinatorial deep learning architecture for pancreas segmentation of medical computed tomography cancer images
|
|---|---|
| Published in |
BMC Systems Biology, April 2018
|
| DOI | 10.1186/s12918-018-0572-z |
| Pubmed ID | |
| Authors |
Min Fu, Wenming Wu, Xiafei Hong, Qiuhua Liu, Jialin Jiang, Yaobin Ou, Yupei Zhao, Xinqi Gong |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 90 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 17% |
| Student > Master | 12 | 13% |
| Researcher | 11 | 12% |
| Student > Bachelor | 6 | 7% |
| Student > Postgraduate | 4 | 4% |
| Other | 9 | 10% |
| Unknown | 33 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 20% |
| Computer Science | 17 | 19% |
| Engineering | 12 | 13% |
| Chemistry | 2 | 2% |
| Mathematics | 1 | 1% |
| Other | 4 | 4% |
| Unknown | 36 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 28 May 2019.
All research outputs
#20,572,330
of 23,149,216 outputs
Outputs from BMC Systems Biology
#1,011
of 1,144 outputs
Outputs of similar age
#287,736
of 326,666 outputs
Outputs of similar age from BMC Systems Biology
#33
of 47 outputs
Altmetric has tracked 23,149,216 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,144 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 326,666 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.