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X Demographics
Mendeley readers
Attention Score in Context
| Title |
scDrugPrio: a framework for the analysis of single-cell transcriptomics to address multiple problems in precision medicine in immune-mediated inflammatory diseases
|
|---|---|
| Published in |
Genome Medicine, March 2024
|
| DOI | 10.1186/s13073-024-01314-7 |
| Pubmed ID | |
| Authors |
Samuel Schäfer, Martin Smelik, Oleg Sysoev, Yelin Zhao, Desiré Eklund, Sandra Lilja, Mika Gustafsson, Holger Heyn, Antonio Julia, István A. Kovács, Joseph Loscalzo, Sara Marsal, Huan Zhang, Xinxiu Li, Danuta Gawel, Hui Wang, Mikael Benson |
X Demographics
The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 4 | 17% |
| India | 2 | 9% |
| Germany | 2 | 9% |
| Spain | 2 | 9% |
| Korea, Republic of | 1 | 4% |
| United Kingdom | 1 | 4% |
| United States | 1 | 4% |
| Czechia | 1 | 4% |
| Unknown | 9 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 61% |
| Scientists | 7 | 30% |
| Practitioners (doctors, other healthcare professionals) | 2 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 29% |
| Student > Doctoral Student | 1 | 14% |
| Unknown | 4 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 14% |
| Biochemistry, Genetics and Molecular Biology | 1 | 14% |
| Medicine and Dentistry | 1 | 14% |
| Engineering | 1 | 14% |
| Unknown | 3 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 54. 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 17 April 2024.
All research outputs
#802,718
of 25,932,719 outputs
Outputs from Genome Medicine
#149
of 1,621 outputs
Outputs of similar age
#12,167
of 331,702 outputs
Outputs of similar age from Genome Medicine
#1
of 42 outputs
Altmetric has tracked 25,932,719 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 1,621 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 particularly well, scoring higher than 90% 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 331,702 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 96% of its contemporaries.
We're also able to compare this research output to 42 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 97% of its contemporaries.