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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Functional interpretation of ATAD3A variants in neuro-mitochondrial phenotypes
|
|---|---|
| Published in |
Genome Medicine, April 2021
|
| DOI | 10.1186/s13073-021-00873-3 |
| Pubmed ID | |
| Authors |
Zheng Yie Yap, Yo Han Park, Saskia B. Wortmann, Adam C. Gunning, Shlomit Ezer, Sukyeong Lee, Lita Duraine, Ekkehard Wilichowski, Kate Wilson, Johannes A. Mayr, Matias Wagner, Hong Li, Usha Kini, Emily Davis Black, Kristin G. Monaghan, James R. Lupski, Sian Ellard, Dominik S. Westphal, Tamar Harel, Wan Hee Yoon |
X Demographics
The data shown below were collected from the profiles of 19 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 | 4 | 21% |
| United States | 4 | 21% |
| India | 1 | 5% |
| Venezuela, Bolivarian Republic of | 1 | 5% |
| Australia | 1 | 5% |
| Mexico | 1 | 5% |
| Unknown | 7 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 47% |
| Scientists | 8 | 42% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 18% |
| Student > Bachelor | 5 | 15% |
| Student > Master | 5 | 15% |
| Researcher | 2 | 6% |
| Other | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 15 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 24% |
| Medicine and Dentistry | 6 | 18% |
| Agricultural and Biological Sciences | 2 | 6% |
| Neuroscience | 2 | 6% |
| Immunology and Microbiology | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 15 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 22 November 2022.
All research outputs
#1,233,172
of 25,611,630 outputs
Outputs from Genome Medicine
#245
of 1,599 outputs
Outputs of similar age
#33,641
of 456,542 outputs
Outputs of similar age from Genome Medicine
#4
of 58 outputs
Altmetric has tracked 25,611,630 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,599 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has done well, scoring higher than 84% 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 456,542 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 92% of its contemporaries.
We're also able to compare this research output to 58 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 94% of its contemporaries.