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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A fully automated artificial intelligence method for non-invasive, imaging-based identification of genetic alterations in glioblastomas
|
|---|---|
| Published in |
Scientific Reports, July 2020
|
| DOI | 10.1038/s41598-020-68857-8 |
| Pubmed ID | |
| Authors |
Evan Calabrese, Javier E. Villanueva-Meyer, Soonmee Cha |
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 % |
|---|---|---|
| United States | 5 | 63% |
| India | 1 | 13% |
| Netherlands | 1 | 13% |
| Unknown | 1 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 91 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 12% |
| Student > Doctoral Student | 10 | 11% |
| Student > Bachelor | 8 | 9% |
| Student > Ph. D. Student | 7 | 8% |
| Student > Master | 7 | 8% |
| Other | 14 | 15% |
| Unknown | 34 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 13% |
| Engineering | 11 | 12% |
| Medicine and Dentistry | 11 | 12% |
| Biochemistry, Genetics and Molecular Biology | 6 | 7% |
| Neuroscience | 4 | 4% |
| Other | 9 | 10% |
| Unknown | 38 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 05 August 2020.
All research outputs
#7,040,248
of 23,221,875 outputs
Outputs from Scientific Reports
#47,499
of 125,548 outputs
Outputs of similar age
#149,659
of 396,626 outputs
Outputs of similar age from Scientific Reports
#1,595
of 3,718 outputs
Altmetric has tracked 23,221,875 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 125,548 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has gotten more attention than average, scoring higher than 61% 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 396,626 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 61% of its contemporaries.
We're also able to compare this research output to 3,718 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 56% of its contemporaries.