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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exploring the size of reference population for expected accuracy of genomic prediction using simulated and real data in Japanese Black cattle
|
|---|---|
| Published in |
BMC Genomics, November 2021
|
| DOI | 10.1186/s12864-021-08121-z |
| Pubmed ID | |
| Authors |
Masayuki Takeda, Keiichi Inoue, Hidemi Oyama, Katsuo Uchiyama, Kanako Yoshinari, Nanae Sasago, Takatoshi Kojima, Masashi Kashima, Hiromi Suzuki, Takehiro Kamata, Masahiro Kumagai, Wataru Takasugi, Tatsuya Aonuma, Yuusuke Soma, Sachi Konno, Takaaki Saito, Mana Ishida, Eiji Muraki, Yoshinobu Inoue, Megumi Takayama, Shota Nariai, Ryoya Hideshima, Ryoichi Nakamura, Sayuri Nishikawa, Hiroshi Kobayashi, Eri Shibata, Koji Yamamoto, Kenichi Yoshimura, Hironori Matsuda, Tetsuro Inoue, Atsumi Fujita, Shohei Terayama, Kazuya Inoue, Sayuri Morita, Ryotaro Nakashima, Ryohei Suezawa, Takeshi Hanamure, Atsushi Zoda, Yoshinobu Uemoto |
X Demographics
The data shown below were collected from the profiles of 2 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 Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 25% |
| Student > Ph. D. Student | 2 | 17% |
| Student > Bachelor | 1 | 8% |
| Student > Master | 1 | 8% |
| Unknown | 5 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 33% |
| Biochemistry, Genetics and Molecular Biology | 3 | 25% |
| Psychology | 1 | 8% |
| Unknown | 4 | 33% |
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 10 November 2021.
All research outputs
#18,145,205
of 23,310,485 outputs
Outputs from BMC Genomics
#7,640
of 10,742 outputs
Outputs of similar age
#296,984
of 440,027 outputs
Outputs of similar age from BMC Genomics
#114
of 175 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,742 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% 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 440,027 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 175 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.