The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Morphological Analysis of Narratives of the Russian-Ukrainian Conflict in Western Academia and Think-Tank Community
|
---|---|
Published in |
Problems of Post-Communism, January 2022
|
DOI | 10.1080/10758216.2021.2009348 |
Authors |
Nadiia Koval, Volodymyr Kulyk, Mykola Riabchuk, Kateryna Zarembo, Marianna Fakhurdinova |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Ukraine | 3 | 23% |
United States | 1 | 8% |
Sweden | 1 | 8% |
Switzerland | 1 | 8% |
Germany | 1 | 8% |
Unknown | 6 | 46% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 38% |
Scientists | 4 | 31% |
Science communicators (journalists, bloggers, editors) | 4 | 31% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 17% |
Student > Ph. D. Student | 3 | 13% |
Professor | 1 | 4% |
Student > Master | 1 | 4% |
Unknown | 15 | 63% |
Readers by discipline | Count | As % |
---|---|---|
Arts and Humanities | 3 | 13% |
Social Sciences | 3 | 13% |
Economics, Econometrics and Finance | 1 | 4% |
Agricultural and Biological Sciences | 1 | 4% |
Unknown | 16 | 67% |
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 18 April 2022.
All research outputs
#1,781,406
of 26,432,239 outputs
Outputs from Problems of Post-Communism
#10
of 136 outputs
Outputs of similar age
#43,944
of 534,635 outputs
Outputs of similar age from Problems of Post-Communism
#1
of 3 outputs
Altmetric has tracked 26,432,239 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 136 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one has done particularly well, scoring higher than 92% 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 534,635 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 3 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