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Attention Score in Context
| Title |
The revised four-factor motivational thought frequency and state motivation scales for alcohol control
|
|---|---|
| Published in |
Addictive Behaviors, May 2018
|
| DOI | 10.1016/j.addbeh.2018.05.026 |
| Pubmed ID | |
| Authors |
David J Kavanagh, Nicole Robinson, Jennifer Connolly, Jason Connor, Jackie Andrade, Jon May |
| Abstract |
Elaborated Intrusion (EI) Theory holds that both functional and dysfunctional motivational cognitions are characterized by their intensity, cognitive availability and involvement of imagery, and can be assessed in terms of their frequency and cross-sectional nature. Recently published data on the Motivational Thought Frequency (MTF-A) and State Motivation (SM-A) scales for alcohol control, which were based on EI theory, have shown acceptable fit for a three-subscale structure (Intensity, Imagery, Availability). However, subsequent analyses on the MTF's adaptation to diabetic regimen adherence suggested superior fit from a four-factor model, splitting Imagery into Incentives and Self-Efficacy Imagery. The current paper reanalyzed data on the MTF-A and SM-A, including an additional item on each and using a more robust statistical approach. Participants (n = 504) reporting recent high-risk drinking or were currently trying to control alcohol consumption volunteered to complete an online survey that included the MTF-A, SM-A, Alcohol Use Disorders Identification Test and Readiness to Change Questionnaire. Confirmatory factor analyses employed robust maximum likelihood (MLR) with Yuan-Bentler χ2 adjustment, and presented internal consistencies using omega. After omission of multivariate outliers, SM-A data were available from 399 participants, and MTF-A data from 351. Better fit was found for the four-factor model on both measures, and high internal consistencies were obtained for all subscales. Incentives Imagery and Self-Efficacy Imagery were both associated with greater alcohol problems and readiness to change. The four-factor structures are statistically superior and more theoretically coherent, and allow a focused assessment of key targets of motivational interventions. |
X Demographics
The data shown below were collected from the profiles of 2 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 Kingdom | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 16% |
| Student > Bachelor | 6 | 14% |
| Other | 5 | 12% |
| Student > Ph. D. Student | 5 | 12% |
| Student > Master | 4 | 9% |
| Other | 4 | 9% |
| Unknown | 12 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 16 | 37% |
| Medicine and Dentistry | 4 | 9% |
| Neuroscience | 3 | 7% |
| Nursing and Health Professions | 3 | 7% |
| Computer Science | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 14 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 05 July 2018.
All research outputs
#15,097,241
of 25,382,440 outputs
Outputs from Addictive Behaviors
#2,781
of 4,433 outputs
Outputs of similar age
#181,400
of 344,432 outputs
Outputs of similar age from Addictive Behaviors
#35
of 79 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,433 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one is in the 36th percentile – i.e., 36% 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 344,432 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 79 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 55% of its contemporaries.