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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Diffeomorphic Registration With Intensity Transformation and Missing Data: Application to 3D Digital Pathology of Alzheimer's Disease
|
|---|---|
| Published in |
Frontiers in Neuroscience, February 2020
|
| DOI | 10.3389/fnins.2020.00052 |
| Pubmed ID | |
| Authors |
Daniel Tward, Timothy Brown, Yusuke Kageyama, Jaymin Patel, Zhipeng Hou, Susumu Mori, Marilyn Albert, Juan Troncoso, Michael Miller |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 16% |
| Researcher | 7 | 16% |
| Student > Master | 6 | 13% |
| Student > Doctoral Student | 3 | 7% |
| Other | 3 | 7% |
| Other | 7 | 16% |
| Unknown | 12 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 8 | 18% |
| Neuroscience | 6 | 13% |
| Computer Science | 4 | 9% |
| Medicine and Dentistry | 3 | 7% |
| Agricultural and Biological Sciences | 3 | 7% |
| Other | 9 | 20% |
| Unknown | 12 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 06 March 2020.
All research outputs
#3,376,197
of 25,563,770 outputs
Outputs from Frontiers in Neuroscience
#2,562
of 11,619 outputs
Outputs of similar age
#81,770
of 480,640 outputs
Outputs of similar age from Frontiers in Neuroscience
#78
of 329 outputs
Altmetric has tracked 25,563,770 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,619 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 well, scoring higher than 76% 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 480,640 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 329 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.