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Attention Score in Context
| Title |
Characterization of bone marrow heterogeneity in NK-AML (M4/M5) based on single-cell RNA sequencing
|
|---|---|
| Published in |
Experimental Hematology & Oncology, March 2023
|
| DOI | 10.1186/s40164-023-00391-5 |
| Pubmed ID | |
| Authors |
Wenqi Wu, Zeyan Shi, Zhongyuan Tang, Huiqun Li, Xiaoke Huang, Xiaolin Liang, Jing Li, Yibin Yao, Weihua Zhao, Meiqing Wu, Jun Luo, Zhenfang Liu |
| Abstract |
Normal karyotype acute myeloid leukemia (NK-AML) is a heterogeneous hematological malignancy that contains a minor population of self-renewing leukemia stem cells (LSCs), which complicate efforts to achieve long-term survival. We performed single-cell RNA sequencing to profile 39,288 cells from 6 bone marrow (BM) aspirates including 5 NK-AML (M4/M5) patients and 1 healthy donor. The single-cell transcriptome atlas and gene expression characteristics of each cell population in NK-AML (M4/M5) and healthy BM were obtained. In addition, we identified a distinct LSC-like cluster with possible biomarkers in NK-AML (M4/M5) and verified 6 genes using qRT‒PCR and bioinformatic analyses. In conclusion, we utilized single-cell technologies to provide an atlas of NK-AML (M4/M5) cell heterogeneity, composition, and biomarkers with implications for precision medicine and targeted therapies. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 67% |
| Unspecified | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 33% |
| Biochemistry, Genetics and Molecular Biology | 1 | 33% |
| Nursing and Health Professions | 1 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 09 March 2023.
All research outputs
#7,993,241
of 25,457,297 outputs
Outputs from Experimental Hematology & Oncology
#88
of 369 outputs
Outputs of similar age
#141,197
of 425,029 outputs
Outputs of similar age from Experimental Hematology & Oncology
#3
of 21 outputs
Altmetric has tracked 25,457,297 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 369 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has gotten more attention than average, scoring higher than 74% 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 425,029 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.