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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Seeking and receiving social support on Facebook for surgery
|
|---|---|
| Published in |
Social Science & Medicine, February 2015
|
| DOI | 10.1016/j.socscimed.2015.02.038 |
| Pubmed ID | |
| Authors |
Matthew A. Davis, Denise L. Anthony, Scott D. Pauls |
| Abstract |
Social networking sites such as Facebook provide a new way to seek and receive social support, a factor widely recognized as important for one's health. However, few studies have used actual conversations from social networking sites to study social support for health related matters. We studied 3,899 Facebook users, among a sample of 33,326 monitored adults, who initiated a conversation that referred to surgery on their Facebook Wall during a six-month period. We explored predictors of social support as measured by number of response posts from "friends." Among our sample, we identified 8,343 Facebook conversation threads with the term "surgery" in the initial post with, on average, 5.7 response posts (SD 6.2). We used a variant of latent semantic analysis to explore the relationship between specific words in the posts that allowed us to develop three thematic categories of words related to family, immediacy of the surgery, and prayer. We used generalized linear mixed models to examine the association between characteristics of the Facebook user as well as the thematic categories on the likelihood of receiving response posts following the announcement of a surgery. Words from the three thematic categories were used in 32.5% (family), 39.5 (immediacy), and 50.7% (prayer) of root posts. Few user characteristics were associated with response in multivariate models [rate ratios, RR, 1.08 (95% CI 1.01, 1.15) for married/living with partner; 1.10 (95% CI 1.03, 1.19) for annual income > $75,000]. In multivariate models adjusted for Facebook user characteristics and network size, use of family and prayer words in the root post were associated with significantly higher number of response posts, RR 1.40 (95% CI 1.37, 1.43) and 2.07 (95% CI 2.02, 2.12) respectively. We found some evidence of social support on Facebook for surgery and that the language used in the root post of a conversation thread is predictive of overall response. |
X Demographics
The data shown below were collected from the profiles of 9 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 | 4 | 44% |
| Switzerland | 1 | 11% |
| India | 1 | 11% |
| France | 1 | 11% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 89% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ecuador | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 107 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 21 | 19% |
| Student > Ph. D. Student | 15 | 14% |
| Student > Doctoral Student | 11 | 10% |
| Professor | 11 | 10% |
| Student > Bachelor | 7 | 6% |
| Other | 19 | 17% |
| Unknown | 25 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 22 | 20% |
| Psychology | 12 | 11% |
| Computer Science | 11 | 10% |
| Medicine and Dentistry | 8 | 7% |
| Nursing and Health Professions | 7 | 6% |
| Other | 17 | 16% |
| Unknown | 32 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 51. 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 15 May 2017.
All research outputs
#827,036
of 25,374,647 outputs
Outputs from Social Science & Medicine
#776
of 11,875 outputs
Outputs of similar age
#10,174
of 270,088 outputs
Outputs of similar age from Social Science & Medicine
#14
of 128 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,875 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.8. This one has done particularly well, scoring higher than 93% 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 270,088 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 128 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.