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Mendeley readers
Attention Score in Context
| Title |
Large-scale discovery of novel neurodevelopmental disorder-related genes through a unified analysis of single-nucleotide and copy number variants
|
|---|---|
| Published in |
Genome Medicine, April 2022
|
| DOI | 10.1186/s13073-022-01042-w |
| Pubmed ID | |
| Authors |
Kohei Hamanaka, Noriko Miyake, Takeshi Mizuguchi, Satoko Miyatake, Yuri Uchiyama, Naomi Tsuchida, Futoshi Sekiguchi, Satomi Mitsuhashi, Yoshinori Tsurusaki, Mitsuko Nakashima, Hirotomo Saitsu, Kohei Yamada, Masamune Sakamoto, Hiromi Fukuda, Sachiko Ohori, Ken Saida, Toshiyuki Itai, Yoshiteru Azuma, Eriko Koshimizu, Atsushi Fujita, Biray Erturk, Yoko Hiraki, Gaik-Siew Ch’ng, Mitsuhiro Kato, Nobuhiko Okamoto, Atsushi Takata, Naomichi Matsumoto |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 16% |
| Student > Bachelor | 3 | 12% |
| Student > Postgraduate | 3 | 12% |
| Student > Ph. D. Student | 3 | 12% |
| Other | 2 | 8% |
| Other | 4 | 16% |
| Unknown | 6 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 28% |
| Agricultural and Biological Sciences | 4 | 16% |
| Medicine and Dentistry | 3 | 12% |
| Business, Management and Accounting | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 26 April 2022.
All research outputs
#3,889,434
of 23,312,088 outputs
Outputs from Genome Medicine
#802
of 1,456 outputs
Outputs of similar age
#83,115
of 443,127 outputs
Outputs of similar age from Genome Medicine
#22
of 31 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,456 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one is in the 44th percentile – i.e., 44% 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 443,127 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 31 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.