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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
EPIC: A Tool to Estimate the Proportions of Different Cell Types from Bulk Gene Expression Data
|
|---|---|
| Chapter number | 17 |
| Book title |
Bioinformatics for Cancer Immunotherapy
|
| Published in |
Methods in molecular biology, March 2020
|
| DOI | 10.1007/978-1-0716-0327-7_17 |
| Pubmed ID | |
| Book ISBNs |
978-1-07-160326-0, 978-1-07-160327-7
|
| Authors |
Julien Racle, David Gfeller, Racle, Julien, Gfeller, David |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 3 | 30% |
| Iran, Islamic Republic of | 1 | 10% |
| United States | 1 | 10% |
| Hong Kong | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 60% |
| Scientists | 4 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 92 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 17% |
| Student > Ph. D. Student | 13 | 14% |
| Student > Master | 9 | 10% |
| Other | 6 | 7% |
| Student > Bachelor | 5 | 5% |
| Other | 16 | 17% |
| Unknown | 27 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 28 | 30% |
| Immunology and Microbiology | 7 | 8% |
| Medicine and Dentistry | 5 | 5% |
| Computer Science | 5 | 5% |
| Agricultural and Biological Sciences | 5 | 5% |
| Other | 8 | 9% |
| Unknown | 34 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 23 June 2022.
All research outputs
#1,962,636
of 23,577,761 outputs
Outputs from Methods in molecular biology
#285
of 13,423 outputs
Outputs of similar age
#46,046
of 362,241 outputs
Outputs of similar age from Methods in molecular biology
#2
of 58 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,423 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 97% 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 362,241 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 87% of its contemporaries.
We're also able to compare this research output to 58 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 96% of its contemporaries.