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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CASM: A Deep-Learning Approach for Identifying Collective Action Events with Text and Image Data from Social Media
|
|---|---|
| Published in |
Sociological Methodology, July 2019
|
| DOI | 10.1177/0081175019860244 |
| Authors |
Han Zhang, Jennifer Pan |
X Demographics
The data shown below were collected from the profiles of 28 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 | 6 | 21% |
| Japan | 4 | 14% |
| Hong Kong | 1 | 4% |
| Singapore | 1 | 4% |
| Germany | 1 | 4% |
| Taiwan | 1 | 4% |
| Unknown | 14 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 68% |
| Scientists | 7 | 25% |
| Science communicators (journalists, bloggers, editors) | 2 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 165 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 20% |
| Student > Master | 16 | 10% |
| Researcher | 15 | 9% |
| Student > Doctoral Student | 8 | 5% |
| Student > Bachelor | 8 | 5% |
| Other | 28 | 17% |
| Unknown | 57 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 75 | 45% |
| Computer Science | 15 | 9% |
| Business, Management and Accounting | 6 | 4% |
| Arts and Humanities | 3 | 2% |
| Psychology | 3 | 2% |
| Other | 6 | 4% |
| Unknown | 57 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 28 February 2022.
All research outputs
#1,865,092
of 24,953,268 outputs
Outputs from Sociological Methodology
#21
of 236 outputs
Outputs of similar age
#38,627
of 351,143 outputs
Outputs of similar age from Sociological Methodology
#2
of 11 outputs
Altmetric has tracked 24,953,268 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 236 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 91% 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 351,143 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 11 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 90% of its contemporaries.