↓ Skip to main content

DNAマーカーを利用した日本に現存するウルシ林の遺伝的多様性評価

Overview of attention for article published in Journal of the Japanese Forest Society, February 2020
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 124)
  • High Attention Score compared to outputs of the same age (80th percentile)

Mentioned by

twitter
9 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
1 Mendeley
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.
Title
DNAマーカーを利用した日本に現存するウルシ林の遺伝的多様性評価
Published in
Journal of the Japanese Forest Society, February 2020
DOI 10.4005/jjfs.101.298
Authors

Atsushi Watanabe, Miho Tamura, Yuichiro Izumi, Rimi Yamaguchi, Taiichi Iki, Masanobu Tabata

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 September 2022.
All research outputs
#3,885,718
of 25,852,155 outputs
Outputs from Journal of the Japanese Forest Society
#8
of 124 outputs
Outputs of similar age
#91,377
of 477,588 outputs
Outputs of similar age from Journal of the Japanese Forest Society
#1
of 2 outputs
Altmetric has tracked 25,852,155 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 124 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 93% 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 477,588 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 80% 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