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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MultiMAP: dimensionality reduction and integration of multimodal data
|
|---|---|
| Published in |
Genome Biology, December 2021
|
| DOI | 10.1186/s13059-021-02565-y |
| Pubmed ID | |
| Authors |
Mika Sarkin Jain, Krzysztof Polanski, Cecilia Dominguez Conde, Xi Chen, Jongeun Park, Lira Mamanova, Andrew Knights, Rachel A. Botting, Emily Stephenson, Muzlifah Haniffa, Austen Lamacraft, Mirjana Efremova, Sarah A. Teichmann |
X Demographics
The data shown below were collected from the profiles of 50 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 | 16 | 32% |
| Germany | 4 | 8% |
| Colombia | 3 | 6% |
| France | 2 | 4% |
| India | 2 | 4% |
| Canada | 1 | 2% |
| Sweden | 1 | 2% |
| China | 1 | 2% |
| Spain | 1 | 2% |
| Other | 7 | 14% |
| Unknown | 12 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 28 | 56% |
| Members of the public | 21 | 42% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 113 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 21% |
| Researcher | 23 | 20% |
| Student > Bachelor | 10 | 9% |
| Student > Master | 9 | 8% |
| Student > Postgraduate | 4 | 4% |
| Other | 9 | 8% |
| Unknown | 34 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 25 | 22% |
| Computer Science | 17 | 15% |
| Agricultural and Biological Sciences | 11 | 10% |
| Mathematics | 6 | 5% |
| Immunology and Microbiology | 4 | 4% |
| Other | 15 | 13% |
| Unknown | 35 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 01 November 2023.
All research outputs
#1,120,959
of 24,814,419 outputs
Outputs from Genome Biology
#856
of 4,389 outputs
Outputs of similar age
#27,471
of 512,179 outputs
Outputs of similar age from Genome Biology
#31
of 91 outputs
Altmetric has tracked 24,814,419 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 4,389 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has done well, scoring higher than 80% 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 512,179 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 91 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 67% of its contemporaries.