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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Single-cell RNA-seq study determines the ontogeny of macrophages in glioblastomas
|
|---|---|
| Published in |
Genome Biology, December 2017
|
| DOI | 10.1186/s13059-017-1375-z |
| Pubmed ID | |
| Authors |
Chenghang (Chuck) Zong |
| Abstract |
A large-scale single-cell RNA-seq analysis of tumor-associated macrophages in gliomas has unveiled a new aspect of the complex tumor microenvironment and new biomarkers. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 24% |
| Student > Ph. D. Student | 10 | 20% |
| Student > Bachelor | 5 | 10% |
| Professor | 4 | 8% |
| Student > Doctoral Student | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 10 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 18% |
| Biochemistry, Genetics and Molecular Biology | 7 | 14% |
| Agricultural and Biological Sciences | 5 | 10% |
| Engineering | 3 | 6% |
| Immunology and Microbiology | 3 | 6% |
| Other | 4 | 8% |
| Unknown | 18 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 16 August 2018.
All research outputs
#16,725,651
of 25,382,440 outputs
Outputs from Genome Biology
#4,057
of 4,468 outputs
Outputs of similar age
#268,788
of 447,689 outputs
Outputs of similar age from Genome Biology
#45
of 46 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,468 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 8th percentile – i.e., 8% 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 447,689 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.