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Hybrid Content Analysis: Toward a Strategy for the Theory-driven, Computer-assisted Classification of Large Text Corpora

Overview of attention for article published in Communication Methods and Measures, August 2020
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Mentioned by

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1 X user

Citations

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30 Dimensions

Readers on

mendeley
66 Mendeley
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Title
Hybrid Content Analysis: Toward a Strategy for the Theory-driven, Computer-assisted Classification of Large Text Corpora
Published in
Communication Methods and Measures, August 2020
DOI 10.1080/19312458.2020.1803247
Authors

Christian Baden, Neta Kligler-Vilenchik, Moran Yarchi

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 24%
Student > Master 13 20%
Student > Bachelor 5 8%
Researcher 5 8%
Professor 4 6%
Other 10 15%
Unknown 13 20%
Readers by discipline Count As %
Social Sciences 35 53%
Arts and Humanities 3 5%
Business, Management and Accounting 3 5%
Computer Science 3 5%
Psychology 3 5%
Other 6 9%
Unknown 13 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 2020.
All research outputs
#19,017,658
of 23,577,654 outputs
Outputs from Communication Methods and Measures
#139
of 164 outputs
Outputs of similar age
#302,802
of 401,630 outputs
Outputs of similar age from Communication Methods and Measures
#4
of 5 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 164 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 3rd percentile – i.e., 3% of its peers scored the same or lower than it.
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 401,630 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
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.