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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Immunedeconv: An R Package for Unified Access to Computational Methods for Estimating Immune Cell Fractions from Bulk RNA-Sequencing Data
|
|---|---|
| Chapter number | 16 |
| Book title |
Bioinformatics for Cancer Immunotherapy
|
| Published in |
Methods in molecular biology, March 2020
|
| DOI | 10.1007/978-1-0716-0327-7_16 |
| Pubmed ID | |
| Book ISBNs |
978-1-07-160326-0, 978-1-07-160327-7
|
| Authors |
Gregor Sturm, Francesca Finotello, Markus List, Sturm, Gregor, Finotello, Francesca, List, Markus |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Austria | 1 | 50% |
| Hong Kong | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 15% |
| Student > Master | 5 | 12% |
| Student > Bachelor | 5 | 12% |
| Researcher | 4 | 10% |
| Student > Postgraduate | 3 | 7% |
| Other | 7 | 17% |
| Unknown | 11 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 29% |
| Immunology and Microbiology | 6 | 15% |
| Agricultural and Biological Sciences | 3 | 7% |
| Medicine and Dentistry | 2 | 5% |
| Chemical Engineering | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 14 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 27 July 2020.
All research outputs
#15,602,559
of 23,197,711 outputs
Outputs from Methods in molecular biology
#5,453
of 13,301 outputs
Outputs of similar age
#222,661
of 360,791 outputs
Outputs of similar age from Methods in molecular biology
#24
of 57 outputs
Altmetric has tracked 23,197,711 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,301 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 360,791 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
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 is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.