| Title |
Between Article and Topic: News Events as Level of Analysis and Their Computational Identification
|
|---|---|
| Published in |
Digital Journalism, November 2020
|
| DOI | 10.1080/21670811.2020.1839352 |
| Authors |
Damian Trilling, Marieke van Hoof |
X Demographics
The data shown below were collected from the profiles of 26 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 7 | 27% |
| Germany | 3 | 12% |
| United States | 2 | 8% |
| Zimbabwe | 1 | 4% |
| United Kingdom | 1 | 4% |
| Taiwan | 1 | 4% |
| Thailand | 1 | 4% |
| Switzerland | 1 | 4% |
| Korea, Republic of | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 8 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 17 | 65% |
| Members of the public | 8 | 31% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 14% |
| Lecturer | 4 | 11% |
| Student > Master | 4 | 11% |
| Student > Ph. D. Student | 4 | 11% |
| Other | 2 | 6% |
| Other | 6 | 17% |
| Unknown | 11 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 11 | 31% |
| Arts and Humanities | 4 | 11% |
| Computer Science | 4 | 11% |
| Economics, Econometrics and Finance | 2 | 6% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 13 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 02 July 2021.
All research outputs
#1,360,704
of 24,046,191 outputs
Outputs from Digital Journalism
#171
of 863 outputs
Outputs of similar age
#36,583
of 424,147 outputs
Outputs of similar age from Digital Journalism
#10
of 26 outputs
Altmetric has tracked 24,046,191 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 863 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.5. This one has done well, scoring higher than 80% 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 424,147 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 26 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 65% of its contemporaries.