Title |
Generalized word shift graphs: a method for visualizing and explaining pairwise comparisons between texts
|
---|---|
Published in |
EPJ Data Science, January 2021
|
DOI | 10.1140/epjds/s13688-021-00260-3 |
Authors |
Ryan J. Gallagher, Morgan R. Frank, Lewis Mitchell, Aaron J. Schwartz, Andrew J. Reagan, Christopher M. Danforth, Peter Sheridan Dodds |
X Demographics
The data shown below were collected from the profiles of 142 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 | 47 | 33% |
Australia | 8 | 6% |
Germany | 7 | 5% |
France | 5 | 4% |
United Kingdom | 4 | 3% |
Spain | 4 | 3% |
Canada | 3 | 2% |
Italy | 3 | 2% |
Sweden | 3 | 2% |
Other | 16 | 11% |
Unknown | 42 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 79 | 56% |
Members of the public | 59 | 42% |
Science communicators (journalists, bloggers, editors) | 3 | 2% |
Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 85 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 20% |
Researcher | 11 | 13% |
Student > Master | 10 | 12% |
Student > Doctoral Student | 6 | 7% |
Student > Bachelor | 5 | 6% |
Other | 11 | 13% |
Unknown | 25 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 23 | 27% |
Social Sciences | 13 | 15% |
Engineering | 4 | 5% |
Environmental Science | 3 | 4% |
Linguistics | 2 | 2% |
Other | 7 | 8% |
Unknown | 33 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 87. 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 05 November 2021.
All research outputs
#502,842
of 25,923,151 outputs
Outputs from EPJ Data Science
#31
of 461 outputs
Outputs of similar age
#14,599
of 535,697 outputs
Outputs of similar age from EPJ Data Science
#2
of 13 outputs
Altmetric has tracked 25,923,151 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 461 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.4. This one has done particularly well, scoring higher than 93% 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 535,697 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 97% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.