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X Demographics
Mendeley readers
Attention Score in Context
| Title |
In Validations We Trust? The Impact of Imperfect Human Annotations as a Gold Standard on the Quality of Validation of Automated Content Analysis
|
|---|---|
| Published in |
Political Communication, March 2020
|
| DOI | 10.1080/10584609.2020.1723752 |
| Authors |
Hyunjin Song, Petro Tolochko, Jakob-Moritz Eberl, Olga Eisele, Esther Greussing, Tobias Heidenreich, Fabienne Lind, Sebastian Galyga, Hajo G. Boomgaarden |
X Demographics
The data shown below were collected from the profiles of 36 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 | 5 | 14% |
| Germany | 5 | 14% |
| Austria | 5 | 14% |
| Netherlands | 5 | 14% |
| Korea, Republic of | 1 | 3% |
| Denmark | 1 | 3% |
| Canada | 1 | 3% |
| Switzerland | 1 | 3% |
| Unknown | 12 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 28 | 78% |
| Members of the public | 8 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 78 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 24% |
| Student > Master | 11 | 14% |
| Student > Doctoral Student | 7 | 9% |
| Researcher | 6 | 8% |
| Lecturer | 5 | 6% |
| Other | 12 | 15% |
| Unknown | 18 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 36 | 46% |
| Computer Science | 7 | 9% |
| Psychology | 4 | 5% |
| Arts and Humanities | 3 | 4% |
| Economics, Econometrics and Finance | 3 | 4% |
| Other | 6 | 8% |
| Unknown | 19 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 March 2022.
All research outputs
#1,658,687
of 25,121,692 outputs
Outputs from Political Communication
#178
of 800 outputs
Outputs of similar age
#37,508
of 367,546 outputs
Outputs of similar age from Political Communication
#11
of 19 outputs
Altmetric has tracked 25,121,692 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 800 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.5. This one has done well, scoring higher than 77% 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 367,546 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 89% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.