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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 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 20% |
United Kingdom | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 80% |
Scientists | 1 | 20% |
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
#14,718,015
of 25,901,238 outputs
Outputs from arXiv
#175,777
of 954,359 outputs
Outputs of similar age
#157,232
of 327,292 outputs
Outputs of similar age from arXiv
#3,266
of 16,495 outputs
Altmetric has tracked 25,901,238 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 954,359 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 80% 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 327,292 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 51% of its contemporaries.
We're also able to compare this research output to 16,495 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.