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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Framework for the Computational Linguistic Analysis of Dehumanization
|
|---|---|
| Published in |
arXiv, August 2020
|
| DOI | 10.3389/frai.2020.00055 |
| Pubmed ID | |
| Authors |
Julia Mendelsohn, Yulia Tsvetkov, Dan Jurafsky |
X Demographics
The data shown below were collected from the profiles of 47 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 | 15 | 32% |
| Germany | 2 | 4% |
| Australia | 2 | 4% |
| India | 1 | 2% |
| Canada | 1 | 2% |
| United Kingdom | 1 | 2% |
| Switzerland | 1 | 2% |
| Japan | 1 | 2% |
| Belgium | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 20 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 33 | 70% |
| Scientists | 13 | 28% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 95 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 26% |
| Student > Master | 14 | 15% |
| Student > Bachelor | 8 | 8% |
| Researcher | 4 | 4% |
| Student > Doctoral Student | 3 | 3% |
| Other | 9 | 9% |
| Unknown | 32 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 19% |
| Social Sciences | 12 | 13% |
| Psychology | 10 | 11% |
| Linguistics | 6 | 6% |
| Business, Management and Accounting | 4 | 4% |
| Other | 11 | 12% |
| Unknown | 34 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 15 January 2024.
All research outputs
#1,227,445
of 25,713,737 outputs
Outputs from arXiv
#17,319
of 938,854 outputs
Outputs of similar age
#34,357
of 427,772 outputs
Outputs of similar age from arXiv
#461
of 24,356 outputs
Altmetric has tracked 25,713,737 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 938,854 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 98% 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 427,772 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 24,356 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.