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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automated model discovery for human brain using Constitutive Artificial Neural Networks
|
|---|---|
| Published in |
Acta Biomaterialia, February 2023
|
| DOI | 10.1016/j.actbio.2023.01.055 |
| Pubmed ID | |
| Authors |
Kevin Linka, Sarah R St Pierre, Ellen Kuhl |
X Demographics
The data shown below were collected from the profiles of 17 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 | 3 | 18% |
| Argentina | 1 | 6% |
| Paraguay | 1 | 6% |
| India | 1 | 6% |
| Canada | 1 | 6% |
| France | 1 | 6% |
| Unknown | 9 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 76% |
| Scientists | 2 | 12% |
| Practitioners (doctors, other healthcare professionals) | 2 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 5 | 16% |
| Researcher | 5 | 16% |
| Student > Doctoral Student | 3 | 9% |
| Student > Ph. D. Student | 2 | 6% |
| Lecturer > Senior Lecturer | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 13 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 9 | 28% |
| Unspecified | 5 | 16% |
| Agricultural and Biological Sciences | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Materials Science | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 14 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 49. 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 22 March 2023.
All research outputs
#875,307
of 25,738,558 outputs
Outputs from Acta Biomaterialia
#55
of 4,566 outputs
Outputs of similar age
#19,222
of 476,577 outputs
Outputs of similar age from Acta Biomaterialia
#1
of 70 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,566 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done particularly well, scoring higher than 98% 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 476,577 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 95% of its contemporaries.
We're also able to compare this research output to 70 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 98% of its contemporaries.