| Title |
Towards evaluating and enhancing the reach of online health forums for smoking cessation
|
|---|---|
| Published in |
Network Modeling Analysis in Health Informatics and Bioinformatics, September 2014
|
| DOI | 10.1007/s13721-014-0069-7 |
| Pubmed ID | |
| Authors |
Michael Stearns, Siddhartha Nambiar, Alexander Nikolaev, Alexander Semenov, Scott McIntosh |
| Abstract |
Online pro-health social networks facilitating smoking cessation through web-assisted interventions have flourished in the past decade. In order to properly evaluate and increase the impact of this form of treatment on society, one needs to understand and be able to quantify its reach, as defined within the widely-adopted RE-AIM framework. In the online communication context, user engagement is an integral component of reach. This paper quantitatively studies the effect of engagement on the users of the Alt.Support.Stop-Smoking forum that served the needs of an online smoking cessation community for more than ten years. The paper then demonstrates how online service evaluation and planning by social network analysts can be applied towards strategic interventions targeting increased user engagement in online health forums. To this end, the challenges and opportunities are identified in the development of thread recommendation systems using core-users as a strategic resource for effective and efficient spread of healthy behaviors, in particular smoking cessation. |
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 | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 53 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 24% |
| Student > Master | 11 | 20% |
| Student > Doctoral Student | 5 | 9% |
| Student > Bachelor | 3 | 5% |
| Professor | 3 | 5% |
| Other | 11 | 20% |
| Unknown | 9 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 15% |
| Business, Management and Accounting | 7 | 13% |
| Medicine and Dentistry | 5 | 9% |
| Nursing and Health Professions | 4 | 7% |
| Engineering | 4 | 7% |
| Other | 14 | 25% |
| Unknown | 13 | 24% |
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 25 September 2021.
All research outputs
#13,430,937
of 23,999,200 outputs
Outputs from Network Modeling Analysis in Health Informatics and Bioinformatics
#18
of 43 outputs
Outputs of similar age
#113,115
of 253,315 outputs
Outputs of similar age from Network Modeling Analysis in Health Informatics and Bioinformatics
#1
of 2 outputs
Altmetric has tracked 23,999,200 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 43 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one scored the same or higher as 25 of them.
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 253,315 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 54% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them