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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine Learning Profiling of Alzheimer's Disease Patients Based on Current Cerebrospinal Fluid Markers and Iron Content in Biofluids
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, February 2021
|
| DOI | 10.3389/fnagi.2021.607858 |
| Pubmed ID | |
| Authors |
Eleonora Ficiarà, Silvia Boschi, Shoeb Ansari, Federico D'Agata, Ornella Abollino, Paola Caroppo, Giuseppe Di Fede, Antonio Indaco, Innocenzo Rainero, Caterina Guiot |
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 % |
|---|---|---|
| France | 1 | 14% |
| United States | 1 | 14% |
| Poland | 1 | 14% |
| Switzerland | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 15% |
| Student > Bachelor | 3 | 9% |
| Student > Master | 3 | 9% |
| Lecturer | 2 | 6% |
| Other | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 15 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 12% |
| Neuroscience | 4 | 12% |
| Engineering | 2 | 6% |
| Business, Management and Accounting | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 5 | 15% |
| Unknown | 17 | 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 19 March 2021.
All research outputs
#2,689,365
of 25,145,981 outputs
Outputs from Frontiers in Aging Neuroscience
#922
of 5,434 outputs
Outputs of similar age
#67,779
of 427,271 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#39
of 183 outputs
Altmetric has tracked 25,145,981 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 5,434 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 82% 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 427,271 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 84% of its contemporaries.
We're also able to compare this research output to 183 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.