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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development and Evaluation of a Leukemia Diagnosis System Using Deep Learning in Real Clinical Scenarios
|
|---|---|
| Published in |
Frontiers in Pediatrics, June 2021
|
| DOI | 10.3389/fped.2021.693676 |
| Pubmed ID | |
| Authors |
Min Zhou, Kefei Wu, Lisha Yu, Mengdi Xu, Junjun Yang, Qing Shen, Bo Liu, Lei Shi, Shuang Wu, Bin Dong, Hansong Wang, Jiajun Yuan, Shuhong Shen, Liebin Zhao |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 71 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 11% |
| Student > Ph. D. Student | 6 | 8% |
| Student > Bachelor | 6 | 8% |
| Lecturer | 4 | 6% |
| Researcher | 3 | 4% |
| Other | 7 | 10% |
| Unknown | 37 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 18% |
| Engineering | 6 | 8% |
| Medicine and Dentistry | 4 | 6% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Unspecified | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 39 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 29 June 2023.
All research outputs
#6,638,916
of 26,202,139 outputs
Outputs from Frontiers in Pediatrics
#1,101
of 8,015 outputs
Outputs of similar age
#130,987
of 459,797 outputs
Outputs of similar age from Frontiers in Pediatrics
#61
of 405 outputs
Altmetric has tracked 26,202,139 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 8,015 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 86% 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 459,797 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 405 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.