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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Technological aids for improving longitudinal research on substance use disorders
|
|---|---|
| Published in |
BMC Health Services Research, August 2016
|
| DOI | 10.1186/s12913-016-1630-0 |
| Pubmed ID | |
| Authors |
David Farabee, Marya Schulte, Rachel Gonzales, Christine E. Grella |
| Abstract |
There is a broad consensus that addictive behaviors tend to be chronic and relapsing. But for field studies of substance users, successfully tracking, locating, and following up with a representative sample of subjects is a challenge. The purpose of this paper is to provide a general overview of how current technological aids can support and improve the quality of longitudinal research on substance use disorders. The review is grouped into four domains: (1) tracking and locating, (2) prompting/engaging, (3) incentivizing, and (4) collecting data. Although the technologies described in this review will be modified or replaced over time, our findings suggest that incorporating some or all of these currently available approaches may improve research efficiency, follow-up rates, and data quality. |
X Demographics
The data shown below were collected from the profiles of 10 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 | 7 | 70% |
| United Kingdom | 1 | 10% |
| Unknown | 2 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 90% |
| Scientists | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 20% |
| Student > Master | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Student > Doctoral Student | 2 | 5% |
| Other | 8 | 20% |
| Unknown | 13 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 6 | 15% |
| Computer Science | 6 | 15% |
| Medicine and Dentistry | 4 | 10% |
| Nursing and Health Professions | 3 | 8% |
| Social Sciences | 3 | 8% |
| Other | 4 | 10% |
| Unknown | 14 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 09 September 2016.
All research outputs
#6,392,334
of 22,882,389 outputs
Outputs from BMC Health Services Research
#3,066
of 7,651 outputs
Outputs of similar age
#107,390
of 357,745 outputs
Outputs of similar age from BMC Health Services Research
#97
of 242 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 7,651 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 59% 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 357,745 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 242 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 59% of its contemporaries.