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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deconvolution of cell type-specific drug responses in human tumor tissue with single-cell RNA-seq
|
|---|---|
| Published in |
Genome Medicine, May 2021
|
| DOI | 10.1186/s13073-021-00894-y |
| Pubmed ID | |
| Authors |
Wenting Zhao, Athanassios Dovas, Eleonora Francesca Spinazzi, Hanna Mendes Levitin, Matei Alexandru Banu, Pavan Upadhyayula, Tejaswi Sudhakar, Tamara Marie, Marc L. Otten, Michael B. Sisti, Jeffrey N. Bruce, Peter Canoll, Peter A. Sims |
X Demographics
The data shown below were collected from the profiles of 28 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 | 10 | 36% |
| United Kingdom | 3 | 11% |
| Austria | 2 | 7% |
| France | 1 | 4% |
| Portugal | 1 | 4% |
| Australia | 1 | 4% |
| China | 1 | 4% |
| Italy | 1 | 4% |
| Unknown | 8 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 54% |
| Scientists | 13 | 46% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 97 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 19% |
| Student > Ph. D. Student | 17 | 18% |
| Student > Master | 11 | 11% |
| Student > Bachelor | 9 | 9% |
| Student > Doctoral Student | 5 | 5% |
| Other | 8 | 8% |
| Unknown | 29 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 19 | 20% |
| Medicine and Dentistry | 12 | 12% |
| Agricultural and Biological Sciences | 11 | 11% |
| Computer Science | 6 | 6% |
| Engineering | 5 | 5% |
| Other | 11 | 11% |
| Unknown | 33 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 24 October 2022.
All research outputs
#1,561,775
of 25,635,728 outputs
Outputs from Genome Medicine
#334
of 1,605 outputs
Outputs of similar age
#40,382
of 455,653 outputs
Outputs of similar age from Genome Medicine
#13
of 57 outputs
Altmetric has tracked 25,635,728 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,605 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 well, scoring higher than 79% 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 455,653 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 57 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.