Myeloid-Derived Suppressor Cells
Springer US
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Single-Cell Transcriptome Analysis Workflow for Splenic Myeloid-Derived Suppressor Cells from Murine Breast Cancer Models
|
|---|---|
| Book title |
Myeloid-Derived Suppressor Cells
|
| Published in |
Methods in molecular biology, November 2020
|
| DOI | 10.1007/978-1-0716-1060-2_14 |
| Pubmed ID | |
| Book ISBNs |
978-1-07-161059-6, 978-1-07-161060-2
|
| Authors |
Alshetaiwi, Hamad, Pervolarakis, Nicholas, Nguyen, Quy H., Kessenbrock, Kai, Hamad Alshetaiwi, Nicholas Pervolarakis, Quy H. Nguyen, Kai Kessenbrock |
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 % |
|---|---|---|
| Italy | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 29% |
| Librarian | 1 | 14% |
| Professor | 1 | 14% |
| Unknown | 3 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 43% |
| Medicine and Dentistry | 1 | 14% |
| Unknown | 3 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 02 July 2021.
All research outputs
#3,699,626
of 23,283,373 outputs
Outputs from Methods in molecular biology
#900
of 13,326 outputs
Outputs of similar age
#98,436
of 509,189 outputs
Outputs of similar age from Methods in molecular biology
#19
of 269 outputs
Altmetric has tracked 23,283,373 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,326 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 93% 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 509,189 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 80% of its contemporaries.
We're also able to compare this research output to 269 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 93% of its contemporaries.