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X Demographics
Mendeley readers
Attention Score in Context
| Title |
sn-spMF: matrix factorization informs tissue-specific genetic regulation of gene expression
|
|---|---|
| Published in |
Genome Biology, September 2020
|
| DOI | 10.1186/s13059-020-02129-6 |
| Pubmed ID | |
| Authors |
Yuan He, Surya B. Chhetri, Marios Arvanitis, Kaushik Srinivasan, François Aguet, Kristin G. Ardlie, Alvaro N. Barbeira, Rodrigo Bonazzola, Hae Kyung Im, Christopher D. Brown, Alexis Battle |
X Demographics
The data shown below were collected from the profiles of 47 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 | 34% |
| United Kingdom | 5 | 11% |
| Germany | 3 | 6% |
| Austria | 2 | 4% |
| Sweden | 1 | 2% |
| China | 1 | 2% |
| Israel | 1 | 2% |
| France | 1 | 2% |
| Australia | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 16 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 23 | 49% |
| Members of the public | 21 | 45% |
| Science communicators (journalists, bloggers, editors) | 2 | 4% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 14% |
| Student > Bachelor | 8 | 14% |
| Researcher | 6 | 10% |
| Student > Doctoral Student | 3 | 5% |
| Student > Postgraduate | 3 | 5% |
| Other | 7 | 12% |
| Unknown | 23 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 24% |
| Agricultural and Biological Sciences | 4 | 7% |
| Computer Science | 4 | 7% |
| Social Sciences | 2 | 3% |
| Neuroscience | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 26 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 February 2022.
All research outputs
#1,262,947
of 25,387,668 outputs
Outputs from Genome Biology
#960
of 4,470 outputs
Outputs of similar age
#34,969
of 425,606 outputs
Outputs of similar age from Genome Biology
#32
of 84 outputs
Altmetric has tracked 25,387,668 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 4,470 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 78% 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 425,606 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 91% of its contemporaries.
We're also able to compare this research output to 84 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 61% of its contemporaries.