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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Data mining methods in the prediction of Dementia: A real-data comparison of the accuracy, sensitivity and specificity of linear discriminant analysis, logistic regression, neural networks, support vector machines, classification trees and random forests
|
|---|---|
| Published in |
BMC Research Notes, August 2011
|
| DOI | 10.1186/1756-0500-4-299 |
| Pubmed ID | |
| Authors |
João Maroco, Dina Silva, Ana Rodrigues, Manuela Guerreiro, Isabel Santana, Alexandre de Mendonça |
X Demographics
The data shown below were collected from the profiles of 3 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 States | 1 | 33% |
| Spain | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 338 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | <1% |
| Portugal | 1 | <1% |
| Netherlands | 1 | <1% |
| Brazil | 1 | <1% |
| United Kingdom | 1 | <1% |
| Turkey | 1 | <1% |
| Egypt | 1 | <1% |
| New Zealand | 1 | <1% |
| Spain | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 326 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 74 | 22% |
| Student > Master | 62 | 18% |
| Researcher | 39 | 12% |
| Student > Bachelor | 25 | 7% |
| Student > Doctoral Student | 18 | 5% |
| Other | 57 | 17% |
| Unknown | 63 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 54 | 16% |
| Engineering | 46 | 14% |
| Medicine and Dentistry | 33 | 10% |
| Psychology | 21 | 6% |
| Agricultural and Biological Sciences | 18 | 5% |
| Other | 80 | 24% |
| Unknown | 86 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 28 January 2016.
All research outputs
#14,834,028
of 22,842,950 outputs
Outputs from BMC Research Notes
#2,125
of 4,266 outputs
Outputs of similar age
#84,798
of 123,606 outputs
Outputs of similar age from BMC Research Notes
#35
of 52 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,266 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 123,606 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.