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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Strategic validation of variants of uncertain significance inECHS1genetic testing
|
|---|---|
| Published in |
Journal of Medical Genetics, April 2023
|
| DOI | 10.1136/jmg-2022-109027 |
| Pubmed ID | |
| Authors |
Yoshihito Kishita, Ayumu Sugiura, Takanori Onuki, Tomohiro Ebihara, Tetsuro Matsuhashi, Masaru Shimura, Takuya Fushimi, Noriko Ichino, Yoshie Nagatakidani, Hitomi Nishihata, Kazuhiro R Nitta, Yukiko Yatsuka, Atsuko Imai-Okazaki, Yibo Wu, Hitoshi Osaka, Akira Ohtake, Kei Murayama, Yasushi Okazaki |
Twitter Demographics
The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 11% |
| India | 1 | 11% |
| Brazil | 1 | 11% |
| Unknown | 6 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 67% |
| Scientists | 2 | 22% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
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 % |
|---|---|---|
| Unspecified | 1 | 50% |
| Student > Doctoral Student | 1 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 50% |
| Biochemistry, Genetics and Molecular Biology | 1 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 53. 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 03 July 2023.
All research outputs
#744,405
of 24,187,594 outputs
Outputs from Journal of Medical Genetics
#39
of 3,020 outputs
Outputs of similar age
#15,687
of 401,262 outputs
Outputs of similar age from Journal of Medical Genetics
#2
of 30 outputs
Altmetric has tracked 24,187,594 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,020 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has done particularly well, scoring higher than 98% 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 401,262 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 96% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.