You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Network Embedding Across Multiple Tissues and Data Modalities Elucidates the Context of Host Factors Important for COVID-19 Infection
|
|---|---|
| Published in |
Frontiers in Genetics, July 2022
|
| DOI | 10.3389/fgene.2022.909714 |
| Pubmed ID | |
| Authors |
Yue Hu, Ghalia Rehawi, Lambert Moyon, Nathalie Gerstner, Christoph Ogris, Janine Knauer-Arloth, Florian Bittner, Annalisa Marsico, Nikola S. Mueller |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 7 | 44% |
| Switzerland | 1 | 6% |
| Portugal | 1 | 6% |
| France | 1 | 6% |
| Unknown | 6 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 9 | 56% |
| Members of the public | 7 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 15% |
| Researcher | 4 | 15% |
| Student > Ph. D. Student | 2 | 8% |
| Student > Doctoral Student | 1 | 4% |
| Professor | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 13 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 12% |
| Computer Science | 3 | 12% |
| Biochemistry, Genetics and Molecular Biology | 2 | 8% |
| Nursing and Health Professions | 2 | 8% |
| Physics and Astronomy | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 14 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 29 July 2022.
All research outputs
#4,081,447
of 25,387,480 outputs
Outputs from Frontiers in Genetics
#1,211
of 13,656 outputs
Outputs of similar age
#78,910
of 429,719 outputs
Outputs of similar age from Frontiers in Genetics
#41
of 910 outputs
Altmetric has tracked 25,387,480 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,656 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 91% 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 429,719 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 910 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 95% of its contemporaries.