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X Demographics
Mendeley readers
Attention Score in Context
| Title |
AMLnet, A deep-learning pipeline for the differential diagnosis of acute myeloid leukemia from bone marrow smears
|
|---|---|
| Published in |
Journal of Hematology & Oncology, March 2023
|
| DOI | 10.1186/s13045-023-01419-3 |
| Pubmed ID | |
| Authors |
Zebin Yu, Jianhu Li, Xiang Wen, Yingli Han, Penglei Jiang, Meng Zhu, Minmin Wang, Xiangli Gao, Dan Shen, Ting Zhang, Shuqi Zhao, Yijing Zhu, Jixiang Tong, Shuchong Yuan, HongHu Zhu, He Huang, Pengxu Qian |
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 % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 3 | 19% |
| Student > Ph. D. Student | 2 | 13% |
| Other | 1 | 6% |
| Lecturer | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Other | 3 | 19% |
| Unknown | 5 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 25% |
| Unspecified | 1 | 6% |
| Business, Management and Accounting | 1 | 6% |
| Computer Science | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 6 | 38% |
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 19 April 2023.
All research outputs
#19,021,638
of 23,578,918 outputs
Outputs from Journal of Hematology & Oncology
#958
of 1,220 outputs
Outputs of similar age
#229,346
of 335,520 outputs
Outputs of similar age from Journal of Hematology & Oncology
#16
of 25 outputs
Altmetric has tracked 23,578,918 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 1,220 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 12th percentile – i.e., 12% 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 335,520 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.