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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Artificial intelligence in the radiomic analysis of glioblastomas: A review, taxonomy, and perspective
|
|---|---|
| Published in |
Frontiers in oncology, August 2022
|
| DOI | 10.3389/fonc.2022.924245 |
| Pubmed ID | |
| Authors |
Ming Zhu, Sijia Li, Yu Kuang, Virginia B. Hill, Amy B. Heimberger, Lijie Zhai, Shengjie Zhai |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 25% |
| United States | 2 | 25% |
| Switzerland | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 2 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 10% |
| Researcher | 5 | 10% |
| Student > Master | 4 | 8% |
| Other | 3 | 6% |
| Student > Ph. D. Student | 3 | 6% |
| Other | 5 | 10% |
| Unknown | 23 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 10% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Engineering | 3 | 6% |
| Neuroscience | 2 | 4% |
| Nursing and Health Professions | 1 | 2% |
| Other | 8 | 17% |
| Unknown | 26 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 21 August 2022.
All research outputs
#7,271,469
of 25,392,582 outputs
Outputs from Frontiers in oncology
#2,527
of 22,436 outputs
Outputs of similar age
#130,873
of 431,950 outputs
Outputs of similar age from Frontiers in oncology
#159
of 1,817 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 22,436 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 88% 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 431,950 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 69% of its contemporaries.
We're also able to compare this research output to 1,817 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.