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X Demographics
Mendeley readers
Attention Score in Context
Title |
Development of computational models for microtesla-level magnetic brain scanning: a novel avenue for device development
|
---|---|
Published in |
BMC Biomedical Engineering, January 2022
|
DOI | 10.1186/s42490-022-00058-y |
Pubmed ID | |
Authors |
Shane Shahrestani, Gabriel Zada, Yu-Chong Tai |
X Demographics
The data shown below were collected from the profiles of 7 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 | 4 | 57% |
Unknown | 3 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 4 | 57% |
Members of the public | 2 | 29% |
Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 43% |
Unspecified | 1 | 14% |
Student > Bachelor | 1 | 14% |
Unknown | 2 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 2 | 29% |
Unspecified | 1 | 14% |
Business, Management and Accounting | 1 | 14% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 14% |
Unknown | 2 | 29% |
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 31 January 2022.
All research outputs
#6,917,971
of 24,736,359 outputs
Outputs from BMC Biomedical Engineering
#13
of 39 outputs
Outputs of similar age
#148,431
of 512,366 outputs
Outputs of similar age from BMC Biomedical Engineering
#1
of 1 outputs
Altmetric has tracked 24,736,359 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 39 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one scored the same or higher as 26 of them.
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 512,366 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 70% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them