| Title |
A Patient-Tailored Evidence-Based Approach for Developing Early Neuropsychological Training Programs in Addiction Settings
|
|---|---|
| Published in |
Neuropsychology Review, January 2019
|
| DOI | 10.1007/s11065-018-9395-3 |
| Pubmed ID | |
| Authors |
Benjamin Rolland, Fabien D’Hondt, Solène Montègue, Mélanie Brion, Eric Peyron, Julia D’Aviau de Ternay, Philippe de Timary, Mikaïl Nourredine, Pierre Maurage |
X Demographics
The data shown below were collected from the profiles of 16 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 | 5 | 31% |
| Belgium | 3 | 19% |
| Switzerland | 1 | 6% |
| Unknown | 7 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 75% |
| Scientists | 3 | 19% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 103 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 17% |
| Student > Master | 16 | 16% |
| Researcher | 10 | 10% |
| Professor > Associate Professor | 8 | 8% |
| Other | 6 | 6% |
| Other | 18 | 17% |
| Unknown | 28 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 37 | 36% |
| Medicine and Dentistry | 10 | 10% |
| Neuroscience | 7 | 7% |
| Nursing and Health Professions | 5 | 5% |
| Engineering | 2 | 2% |
| Other | 9 | 9% |
| Unknown | 33 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 06 January 2019.
All research outputs
#2,850,648
of 23,120,280 outputs
Outputs from Neuropsychology Review
#103
of 458 outputs
Outputs of similar age
#67,628
of 438,184 outputs
Outputs of similar age from Neuropsychology Review
#2
of 8 outputs
Altmetric has tracked 23,120,280 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 458 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one has done well, scoring higher than 77% 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 438,184 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 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.