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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Investigating the Chronological Variation of Popular Song Lyrics ThroughLexical Indices
|
|---|---|
| Published in |
Journal of the Japanese Association for Digital Humanities, January 2017
|
| DOI | 10.17928/jjadh.2.1_90 |
| Authors |
Yuichiro Kobayashi, Misaki Amagasa, Takafumi Suzuki |
X Demographics
The data shown below were collected from the profiles of 33 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 5 | 15% |
| United States | 5 | 15% |
| Switzerland | 1 | 3% |
| India | 1 | 3% |
| Unknown | 21 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 32 | 97% |
| Scientists | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 1 | 50% |
| Unknown | 1 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Arts and Humanities | 1 | 50% |
| Unknown | 1 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 23 April 2024.
All research outputs
#1,354,929
of 24,394,175 outputs
Outputs from Journal of the Japanese Association for Digital Humanities
#2
of 20 outputs
Outputs of similar age
#28,802
of 429,252 outputs
Outputs of similar age from Journal of the Japanese Association for Digital Humanities
#2
of 2 outputs
Altmetric has tracked 24,394,175 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 20 research outputs from this source. They receive a mean Attention Score of 3.7. This one scored the same or higher as 18 of them.
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 429,252 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 93% 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.