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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Validity of Sentiment Analysis: Comparing Manual Annotation, Crowd-Coding, Dictionary Approaches, and Machine Learning Algorithms
|
|---|---|
| Published in |
Communication Methods and Measures, January 2021
|
| DOI | 10.1080/19312458.2020.1869198 |
| Authors |
Wouter van Atteveldt, Mariken A. C. G. van der Velden, Mark Boukes |
X Demographics
The data shown below were collected from the profiles of 110 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 | 23 | 21% |
| Netherlands | 10 | 9% |
| Germany | 6 | 5% |
| Austria | 4 | 4% |
| Switzerland | 3 | 3% |
| Spain | 3 | 3% |
| United Kingdom | 3 | 3% |
| South Africa | 2 | 2% |
| Australia | 2 | 2% |
| Other | 14 | 13% |
| Unknown | 40 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 54 | 49% |
| Members of the public | 54 | 49% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 307 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 307 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 52 | 17% |
| Student > Master | 33 | 11% |
| Researcher | 22 | 7% |
| Lecturer | 18 | 6% |
| Student > Doctoral Student | 18 | 6% |
| Other | 37 | 12% |
| Unknown | 127 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 75 | 24% |
| Computer Science | 29 | 9% |
| Business, Management and Accounting | 14 | 5% |
| Arts and Humanities | 12 | 4% |
| Economics, Econometrics and Finance | 9 | 3% |
| Other | 35 | 11% |
| Unknown | 133 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 66. 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 20 August 2023.
All research outputs
#661,107
of 25,757,133 outputs
Outputs from Communication Methods and Measures
#5
of 188 outputs
Outputs of similar age
#19,277
of 537,677 outputs
Outputs of similar age from Communication Methods and Measures
#1
of 2 outputs
Altmetric has tracked 25,757,133 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 188 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done particularly well, scoring higher than 97% 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 537,677 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 96% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them