| Title |
Texture analysis on conventional MRI images accurately predicts early malignant transformation of low-grade gliomas
|
|---|---|
| Published in |
European Radiology, January 2019
|
| DOI | 10.1007/s00330-018-5921-1 |
| Pubmed ID | |
| Authors |
Shun Zhang, Gloria Chia-Yi Chiang, Rajiv S. Magge, Howard Alan Fine, Rohan Ramakrishna, Eileen Wang Chang, Tejas Pulisetty, Yi Wang, Wenzhen Zhu, Ilhami Kovanlikaya |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 7 | 21% |
| Researcher | 3 | 9% |
| Student > Postgraduate | 3 | 9% |
| Student > Doctoral Student | 1 | 3% |
| Student > Master | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 16 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 24% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Engineering | 2 | 6% |
| Physics and Astronomy | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 19 | 56% |
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 27 July 2019.
All research outputs
#15,557,299
of 23,122,481 outputs
Outputs from European Radiology
#2,494
of 4,189 outputs
Outputs of similar age
#264,719
of 437,003 outputs
Outputs of similar age from European Radiology
#38
of 74 outputs
Altmetric has tracked 23,122,481 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,189 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 31st percentile – i.e., 31% 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 437,003 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.