Social Informatics
Springer, Cham
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Identifying Partisan Slant in News Articles and Twitter During Political Crises
|
|---|---|
| Chapter number | 16 |
| Book title |
Social Informatics
|
| Published in |
Lecture notes in computer science, October 2016
|
| DOI | 10.1007/978-3-319-47880-7_16 |
| Book ISBNs |
978-3-31-947879-1, 978-3-31-947880-7
|
| Authors |
Dmytro Karamshuk, Tetyana Lokot, Oleksandr Pryymak, Nishanth Sastry |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 60% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 3% |
| Unknown | 28 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 21% |
| Student > Master | 5 | 17% |
| Researcher | 4 | 14% |
| Student > Bachelor | 2 | 7% |
| Student > Doctoral Student | 2 | 7% |
| Other | 1 | 3% |
| Unknown | 9 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 21% |
| Social Sciences | 6 | 21% |
| Mathematics | 2 | 7% |
| Economics, Econometrics and Finance | 1 | 3% |
| Arts and Humanities | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 11 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 21 March 2017.
All research outputs
#15,187,957
of 24,547,718 outputs
Outputs from Lecture notes in computer science
#4,335
of 8,158 outputs
Outputs of similar age
#179,706
of 320,875 outputs
Outputs of similar age from Lecture notes in computer science
#222
of 415 outputs
Altmetric has tracked 24,547,718 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,158 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 320,875 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 415 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.