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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Unraveling the Local Relation Between Tissue Composition and Human Brain Mechanics Through Machine Learning
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, August 2021
|
| DOI | 10.3389/fbioe.2021.704738 |
| Pubmed ID | |
| Authors |
Kevin Linka, Nina Reiter, Jasmin Würges, Martin Schicht, Lars Bräuer, Christian J. Cyron, Friedrich Paulsen, Silvia Budday |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 17% |
| Switzerland | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
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 % |
|---|---|---|
| Student > Ph. D. Student | 7 | 18% |
| Researcher | 5 | 13% |
| Student > Doctoral Student | 4 | 10% |
| Student > Master | 3 | 8% |
| Professor | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 14 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 9 | 23% |
| Computer Science | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Materials Science | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 17 | 44% |
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 08 September 2021.
All research outputs
#7,598,629
of 23,310,485 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,294
of 6,955 outputs
Outputs of similar age
#153,605
of 432,476 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#39
of 311 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 6,955 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 80% 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 432,476 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 64% of its contemporaries.
We're also able to compare this research output to 311 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.