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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Differentiation of Brain Abscess From Cystic Glioma Using Conventional MRI Based on Deep Transfer Learning Features and Hand-Crafted Radiomics Features
|
|---|---|
| Published in |
Frontiers in Medicine, November 2021
|
| DOI | 10.3389/fmed.2021.748144 |
| Pubmed ID | |
| Authors |
Linlin Bo, Zijian Zhang, Zekun Jiang, Chao Yang, Pu Huang, Tingyin Chen, Yifan Wang, Gang Yu, Xiao Tan, Quan Cheng, Dengwang Li, Zhixiong Liu |
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 % |
|---|---|---|
| China | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 2 | 8% |
| Lecturer | 2 | 8% |
| Unspecified | 1 | 4% |
| Student > Bachelor | 1 | 4% |
| Student > Ph. D. Student | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 14 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Business, Management and Accounting | 1 | 4% |
| Unspecified | 1 | 4% |
| Computer Science | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 14 | 58% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 07 December 2021.
All research outputs
#13,851,599
of 22,641,687 outputs
Outputs from Frontiers in Medicine
#2,236
of 5,492 outputs
Outputs of similar age
#199,928
of 429,457 outputs
Outputs of similar age from Frontiers in Medicine
#199
of 567 outputs
Altmetric has tracked 22,641,687 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,492 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one has gotten more attention than average, scoring higher than 57% 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 429,457 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 51% of its contemporaries.
We're also able to compare this research output to 567 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 63% of its contemporaries.