| Title |
Concept Mover’s Distance: measuring concept engagement via word embeddings in texts
|
|---|---|
| Published in |
Journal of Computational Social Science, August 2019
|
| DOI | 10.1007/s42001-019-00048-6 |
| Authors |
Dustin S. Stoltz, Marshall A. Taylor |
X Demographics
The data shown below were collected from the profiles of 31 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 | 13 | 42% |
| United Kingdom | 3 | 10% |
| Ireland | 2 | 6% |
| Switzerland | 1 | 3% |
| Canada | 1 | 3% |
| Australia | 1 | 3% |
| Denmark | 1 | 3% |
| Unknown | 9 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 55% |
| Scientists | 14 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 20% |
| Student > Bachelor | 8 | 18% |
| Student > Doctoral Student | 5 | 11% |
| Researcher | 5 | 11% |
| Lecturer | 3 | 7% |
| Other | 8 | 18% |
| Unknown | 6 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 19 | 43% |
| Computer Science | 12 | 27% |
| Economics, Econometrics and Finance | 2 | 5% |
| Psychology | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 5 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 February 2024.
All research outputs
#1,134,780
of 25,383,344 outputs
Outputs from Journal of Computational Social Science
#16
of 132 outputs
Outputs of similar age
#23,900
of 353,661 outputs
Outputs of similar age from Journal of Computational Social Science
#3
of 5 outputs
Altmetric has tracked 25,383,344 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 132 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.0. This one has done well, scoring higher than 88% 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 353,661 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 93% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.