The data shown below were collected from the profiles of 27 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
Title |
Clinical implementation of artificial intelligence in neuroradiology with development of a novel workflow-efficient picture archiving and communication system-based automated brain tumor segmentation and radiomic feature extraction
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Published in |
Frontiers in Neuroscience, October 2022
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DOI | 10.3389/fnins.2022.860208 |
Pubmed ID | |
Authors |
Mariam Aboian, Khaled Bousabarah, Eve Kazarian, Tal Zeevi, Wolfgang Holler, Sara Merkaj, Gabriel Cassinelli Petersen, Ryan Bahar, Harry Subramanian, Pranay Sunku, Elizabeth Schrickel, Jitendra Bhawnani, Mathew Zawalich, Amit Mahajan, Ajay Malhotra, Sam Payabvash, Irena Tocino, MingDe Lin, Malte Westerhoff |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 11 | 41% |
Poland | 1 | 4% |
Germany | 1 | 4% |
Unknown | 14 | 52% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 13 | 48% |
Scientists | 11 | 41% |
Practitioners (doctors, other healthcare professionals) | 2 | 7% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 37 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 4 | 11% |
Researcher | 3 | 8% |
Librarian | 2 | 5% |
Other | 1 | 3% |
Student > Doctoral Student | 1 | 3% |
Other | 3 | 8% |
Unknown | 23 | 62% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 3 | 8% |
Arts and Humanities | 1 | 3% |
Agricultural and Biological Sciences | 1 | 3% |
Computer Science | 1 | 3% |
Sports and Recreations | 1 | 3% |
Other | 5 | 14% |
Unknown | 25 | 68% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 15 October 2022.
All research outputs
#1,777,687
of 25,392,582 outputs
Outputs from Frontiers in Neuroscience
#923
of 11,543 outputs
Outputs of similar age
#37,910
of 438,052 outputs
Outputs of similar age from Frontiers in Neuroscience
#19
of 444 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 91% 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 438,052 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 444 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 95% of its contemporaries.