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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep Learning-Based Classification of Cancer Cell in Leptomeningeal Metastasis on Cytomorphologic Features of Cerebrospinal Fluid
|
|---|---|
| Published in |
Frontiers in oncology, February 2022
|
| DOI | 10.3389/fonc.2022.821594 |
| Pubmed ID | |
| Authors |
Wenjin Yu, Yangyang Liu, Yunsong Zhao, Haofan Huang, Jiahao Liu, Xiaofeng Yao, Jingwen Li, Zhen Xie, Luyue Jiang, Heping Wu, Xinhao Cao, Jiaming Zhou, Yuting Guo, Gaoyang Li, Matthew Xinhu Ren, Yi Quan, Tingmin Mu, Guillermo Ayuso Izquierdo, Guoxun Zhang, Runze Zhao, Di Zhao, Jiangyun Yan, Haijun Zhang, Junchao Lv, Qian Yao, Yan Duan, Huimin Zhou, Tingting Liu, Ying He, Ting Bian, Wen Dai, Jiahui Huai, Xiyuan Wang, Qian He, Yi Gao, Wei Ren, Gang Niu, Gang 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 % |
|---|---|---|
| Switzerland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 9% |
| Student > Ph. D. Student | 4 | 9% |
| Student > Master | 4 | 9% |
| Researcher | 3 | 7% |
| Other | 2 | 4% |
| Other | 3 | 7% |
| Unknown | 26 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 15% |
| Medicine and Dentistry | 6 | 13% |
| Engineering | 3 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Unspecified | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 26 | 57% |
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 14 March 2022.
All research outputs
#20,294,544
of 25,806,763 outputs
Outputs from Frontiers in oncology
#9,505
of 22,805 outputs
Outputs of similar age
#322,384
of 454,411 outputs
Outputs of similar age from Frontiers in oncology
#646
of 1,570 outputs
Altmetric has tracked 25,806,763 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,805 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 49th percentile – i.e., 49% 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 454,411 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,570 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 51% of its contemporaries.