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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Boosting the diagnostic power of amyloid-β PET using a data-driven spatially informed classifier for decision support
|
|---|---|
| Published in |
Alzheimer's Research & Therapy, November 2021
|
| DOI | 10.1186/s13195-021-00910-8 |
| Pubmed ID | |
| Authors |
Ashwin V. Venkataraman, Wenjia Bai, Alex Whittington, James F. Myers, Eugenii A. Rabiner, Anne Lingford-Hughes, Paul M. Matthews |
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 Kingdom | 5 | 71% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 18% |
| Unspecified | 2 | 12% |
| Student > Ph. D. Student | 2 | 12% |
| Student > Bachelor | 1 | 6% |
| Other | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 6 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 12% |
| Neuroscience | 2 | 12% |
| Medicine and Dentistry | 2 | 12% |
| Computer Science | 1 | 6% |
| Chemical Engineering | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 7 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 24 February 2022.
All research outputs
#2,456,998
of 23,197,711 outputs
Outputs from Alzheimer's Research & Therapy
#567
of 1,258 outputs
Outputs of similar age
#56,549
of 435,875 outputs
Outputs of similar age from Alzheimer's Research & Therapy
#15
of 42 outputs
Altmetric has tracked 23,197,711 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,258 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one has gotten more attention than average, scoring higher than 54% 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 435,875 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 86% of its contemporaries.
We're also able to compare this research output to 42 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 64% of its contemporaries.