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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
How Polarized Have We Become? A Multimodal Classification of Trump Followers and Clinton Followers
|
|---|---|
| Chapter number | 27 |
| Book title |
Social Informatics
|
| Published in |
arXiv, September 2017
|
| DOI | 10.1007/978-3-319-67217-5_27 |
| Book ISBNs |
978-3-31-967216-8, 978-3-31-967217-5
|
| Authors |
Yu Wang, Yang Feng, Zhe Hong, Ryan Berger, Jiebo Luo |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 20% |
| Student > Ph. D. Student | 5 | 17% |
| Student > Doctoral Student | 2 | 7% |
| Student > Bachelor | 2 | 7% |
| Other | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 12 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 7 | 23% |
| Computer Science | 6 | 20% |
| Business, Management and Accounting | 1 | 3% |
| Economics, Econometrics and Finance | 1 | 3% |
| Linguistics | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 12 | 40% |
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 03 November 2017.
All research outputs
#15,144,560
of 25,724,500 outputs
Outputs from arXiv
#199,788
of 940,219 outputs
Outputs of similar age
#165,029
of 324,501 outputs
Outputs of similar age from arXiv
#3,929
of 16,494 outputs
Altmetric has tracked 25,724,500 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 940,219 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 77% 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 324,501 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16,494 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 73% of its contemporaries.