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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fusing pre-trained convolutional neural networks features for multi-differentiated subtypes of liver cancer on histopathological images
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, May 2022
|
| DOI | 10.1186/s12911-022-01798-6 |
| Pubmed ID | |
| Authors |
Xiaogang Dong, Min Li, Panyun Zhou, Xin Deng, Siyu Li, Xingyue Zhao, Yi Wu, Jiwei Qin, Wenjia Guo |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 17% |
| Student > Master | 2 | 9% |
| Librarian | 1 | 4% |
| Student > Ph. D. Student | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 14 | 61% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 2 | 9% |
| Social Sciences | 2 | 9% |
| Unspecified | 1 | 4% |
| Computer Science | 1 | 4% |
| Mathematics | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 14 | 61% |
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 05 May 2022.
All research outputs
#19,127,319
of 23,700,294 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,607
of 2,026 outputs
Outputs of similar age
#317,668
of 444,639 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#34
of 49 outputs
Altmetric has tracked 23,700,294 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,026 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 8th percentile – i.e., 8% 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 444,639 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.