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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Erratum to: Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression
|
|---|---|
| Published in |
Genome Biology, December 2016
|
| DOI | 10.1186/s13059-016-1113-y |
| Pubmed ID | |
| Authors |
Etienne Becht, Nicolas A. Giraldo, Laetitia Lacroix, Bénédicte Buttard, Nabila Elarouci, Florent Petitprez, Janick Selves, Pierre Laurent-Puig, Catherine Sautès-Fridman, Wolf H. Fridman, Aurélien de Reyniès |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 110 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 27% |
| Student > Ph. D. Student | 19 | 17% |
| Student > Master | 8 | 7% |
| Student > Doctoral Student | 6 | 5% |
| Student > Postgraduate | 5 | 5% |
| Other | 16 | 15% |
| Unknown | 26 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 27 | 25% |
| Medicine and Dentistry | 18 | 16% |
| Immunology and Microbiology | 10 | 9% |
| Computer Science | 7 | 6% |
| Agricultural and Biological Sciences | 6 | 5% |
| Other | 14 | 13% |
| Unknown | 28 | 25% |
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 01 December 2016.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Genome Biology
#4,394
of 4,467 outputs
Outputs of similar age
#356,624
of 416,449 outputs
Outputs of similar age from Genome Biology
#55
of 56 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 1st percentile – i.e., 1% 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 416,449 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.