Information for a Better World: Shaping the Global Future
Springer International Publishing
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Exploiting Transformer-Based Multitask Learning for the Detection of Media Bias in News Articles
|
|---|---|
| Book title |
Information for a Better World: Shaping the Global Future
|
| Published in |
arXiv, February 2022
|
| DOI | 10.1007/978-3-030-96957-8_20 |
| Book ISBNs |
978-3-03-096956-1, 978-3-03-096957-8
|
| Authors |
Spinde, Timo, Krieger, Jan-David, Ruas, Terry, Mitrović, Jelena, Götz-Hahn, Franz, Aizawa, Akiko, Gipp, Bela, Timo Spinde, Jan-David Krieger, Terry Ruas, Jelena Mitrović, Franz Götz-Hahn, Akiko Aizawa, Bela Gipp |
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 % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 14% |
| Student > Master | 2 | 14% |
| Other | 1 | 7% |
| Researcher | 1 | 7% |
| Unknown | 8 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 21% |
| Arts and Humanities | 1 | 7% |
| Business, Management and Accounting | 1 | 7% |
| Social Sciences | 1 | 7% |
| Unknown | 8 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 08 November 2022.
All research outputs
#17,549,414
of 25,729,842 outputs
Outputs from arXiv
#364,649
of 941,075 outputs
Outputs of similar age
#274,355
of 453,159 outputs
Outputs of similar age from arXiv
#11,647
of 27,456 outputs
Altmetric has tracked 25,729,842 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 941,075 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 53% 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 453,159 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27,456 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 51% of its contemporaries.