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X Demographics
Mendeley readers
Attention Score in Context
Title |
MAVE-NN: learning genotype-phenotype maps from multiplex assays of variant effect
|
---|---|
Published in |
Genome Biology, April 2022
|
DOI | 10.1186/s13059-022-02661-7 |
Pubmed ID | |
Authors |
Ammar Tareen, Mahdi Kooshkbaghi, Anna Posfai, William T. Ireland, David M. McCandlish, Justin B. Kinney |
X Demographics
The data shown below were collected from the profiles of 63 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 States | 28 | 44% |
Italy | 1 | 2% |
Korea, Republic of | 1 | 2% |
Denmark | 1 | 2% |
Sweden | 1 | 2% |
Finland | 1 | 2% |
Nigeria | 1 | 2% |
Poland | 1 | 2% |
Canada | 1 | 2% |
Other | 9 | 14% |
Unknown | 18 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 32 | 51% |
Members of the public | 29 | 46% |
Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 62 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 19% |
Researcher | 11 | 18% |
Student > Bachelor | 5 | 8% |
Student > Master | 4 | 6% |
Student > Doctoral Student | 2 | 3% |
Other | 5 | 8% |
Unknown | 23 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 21 | 34% |
Agricultural and Biological Sciences | 8 | 13% |
Environmental Science | 1 | 2% |
Nursing and Health Professions | 1 | 2% |
Mathematics | 1 | 2% |
Other | 5 | 8% |
Unknown | 25 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 41. 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 21 May 2024.
All research outputs
#1,039,824
of 26,090,071 outputs
Outputs from Genome Biology
#728
of 4,560 outputs
Outputs of similar age
#25,131
of 450,840 outputs
Outputs of similar age from Genome Biology
#18
of 57 outputs
Altmetric has tracked 26,090,071 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 4,560 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. 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 450,840 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 94% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.