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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Social Networks Approach to Understanding Vaccine Conversations on Twitter: Network Clusters, Sentiment, and Certainty in HPV Social Networks
|
|---|---|
| Published in |
Health Communication, June 2019
|
| DOI | 10.1080/10410236.2019.1573446 |
| Pubmed ID | |
| Authors |
Itai Himelboim, Xizhu Xiao, Danielle Ka Lai Lee, Meredith Y. Wang, Porismita Borah |
X Demographics
The data shown below were collected from the profiles of 11 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 | 5 | 45% |
| Georgia | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 4 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 122 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 13% |
| Student > Ph. D. Student | 15 | 12% |
| Researcher | 10 | 8% |
| Student > Bachelor | 10 | 8% |
| Professor > Associate Professor | 6 | 5% |
| Other | 27 | 22% |
| Unknown | 38 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 29 | 24% |
| Computer Science | 13 | 11% |
| Nursing and Health Professions | 8 | 7% |
| Medicine and Dentistry | 5 | 4% |
| Business, Management and Accounting | 4 | 3% |
| Other | 16 | 13% |
| Unknown | 47 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 01 May 2020.
All research outputs
#2,961,305
of 24,823,556 outputs
Outputs from Health Communication
#289
of 1,758 outputs
Outputs of similar age
#59,875
of 358,949 outputs
Outputs of similar age from Health Communication
#4
of 27 outputs
Altmetric has tracked 24,823,556 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,758 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done well, scoring higher than 83% 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 358,949 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 83% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.