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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Combination of multi-modal MRI radiomics and liquid biopsy technique for preoperatively non-invasive diagnosis of glioma based on deep learning: protocol for a double-center, ambispective, diagnostical observational study
|
|---|---|
| Published in |
Frontiers in Molecular Neuroscience, May 2023
|
| DOI | 10.3389/fnmol.2023.1183032 |
| Pubmed ID | |
| Authors |
Ping Hu, Ling Xu, Yangzhi Qi, Tengfeng Yan, Liguo Ye, Shen Wen, Dalong Yuan, Xinyi Zhu, Shuhang Deng, Xun Liu, Panpan Xu, Ran You, Dongfang Wang, Shanwen Liang, Yu Wu, Yang Xu, Qian Sun, Senlin Du, Ye Yuan, Gang Deng, Jing Cheng, Dong Zhang, Qianxue Chen, Xingen Zhu |
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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 15% |
| Unspecified | 2 | 15% |
| Student > Doctoral Student | 1 | 8% |
| Lecturer | 1 | 8% |
| Student > Ph. D. Student | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 5 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 15% |
| Unspecified | 2 | 15% |
| Medicine and Dentistry | 2 | 15% |
| Environmental Science | 1 | 8% |
| Engineering | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 5 | 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 20 May 2023.
All research outputs
#18,536,655
of 23,801,098 outputs
Outputs from Frontiers in Molecular Neuroscience
#2,193
of 3,064 outputs
Outputs of similar age
#181,255
of 279,603 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#34
of 60 outputs
Altmetric has tracked 23,801,098 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,064 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 21st percentile – i.e., 21% 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 279,603 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.