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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting AT(N) pathologies in Alzheimer’s disease from blood-based proteomic data using neural networks
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, November 2022
|
| DOI | 10.3389/fnagi.2022.1040001 |
| Pubmed ID | |
| Authors |
Yuting Zhang, Upamanyu Ghose, Noel J. Buckley, Sebastiaan Engelborghs, Kristel Sleegers, Giovanni B. Frisoni, Anders Wallin, Alberto Lleó, Julius Popp, Pablo Martinez-Lage, Cristina Legido-Quigley, Frederik Barkhof, Henrik Zetterberg, Pieter Jelle Visser, Lars Bertram, Simon Lovestone, Alejo J. Nevado-Holgado, Liu Shi |
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 % |
|---|---|---|
| Luxembourg | 1 | 17% |
| United Kingdom | 1 | 17% |
| Netherlands | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 14% |
| Unspecified | 2 | 9% |
| Researcher | 2 | 9% |
| Other | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 10 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 9% |
| Chemical Engineering | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Other | 4 | 18% |
| Unknown | 11 | 50% |
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 23 December 2022.
All research outputs
#2,652,329
of 25,048,615 outputs
Outputs from Frontiers in Aging Neuroscience
#895
of 5,407 outputs
Outputs of similar age
#55,187
of 485,385 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#32
of 244 outputs
Altmetric has tracked 25,048,615 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 5,407 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done well, scoring higher than 83% 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 485,385 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 88% of its contemporaries.
We're also able to compare this research output to 244 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.