You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comparison of Intraoperative Ultrasound B-Mode and Strain Elastography for the Differentiation of Glioblastomas From Solitary Brain Metastases. An Automated Deep Learning Approach for Image Analysis
|
|---|---|
| Published in |
Frontiers in oncology, February 2021
|
| DOI | 10.3389/fonc.2020.590756 |
| Pubmed ID | |
| Authors |
Santiago Cepeda, Sergio García-García, Ignacio Arrese, Gabriel Fernández-Pérez, María Velasco-Casares, Manuel Fajardo-Puentes, Tomás Zamora, Rosario Sarabia |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 4 | 10% |
| Student > Ph. D. Student | 3 | 8% |
| Researcher | 3 | 8% |
| Lecturer | 2 | 5% |
| Student > Doctoral Student | 2 | 5% |
| Other | 8 | 21% |
| Unknown | 17 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 23% |
| Computer Science | 4 | 10% |
| Neuroscience | 4 | 10% |
| Engineering | 2 | 5% |
| Mathematics | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 18 | 46% |
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 21 February 2021.
All research outputs
#22,774,430
of 25,387,668 outputs
Outputs from Frontiers in oncology
#15,926
of 22,433 outputs
Outputs of similar age
#456,904
of 527,330 outputs
Outputs of similar age from Frontiers in oncology
#554
of 841 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,433 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 1st percentile – i.e., 1% 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 527,330 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 841 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.