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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Validating Automated Segmentation Tools in the Assessment of Caudate Atrophy in Huntington’s Disease
|
|---|---|
| Published in |
Frontiers in Neurology, April 2021
|
| DOI | 10.3389/fneur.2021.616272 |
| Pubmed ID | |
| Authors |
Nina M. Mansoor, Tishok Vanniyasingam, Ian Malone, Nicola Z. Hobbs, Elin Rees, Alexandra Durr, Raymund A. C. Roos, Bernhard Landwehrmeyer, Sarah J. Tabrizi, Eileanoir B. Johnson, Rachael I. Scahill |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 4 | 33% |
| Researcher | 2 | 17% |
| Student > Ph. D. Student | 1 | 8% |
| Student > Master | 1 | 8% |
| Unknown | 4 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 4 | 33% |
| Computer Science | 1 | 8% |
| Arts and Humanities | 1 | 8% |
| Medicine and Dentistry | 1 | 8% |
| Economics, Econometrics and Finance | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 4 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 07 May 2021.
All research outputs
#3,207,750
of 23,308,124 outputs
Outputs from Frontiers in Neurology
#2,438
of 12,222 outputs
Outputs of similar age
#82,991
of 435,797 outputs
Outputs of similar age from Frontiers in Neurology
#73
of 524 outputs
Altmetric has tracked 23,308,124 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 12,222 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done well, scoring higher than 78% 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 435,797 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 80% of its contemporaries.
We're also able to compare this research output to 524 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.