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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Leukemia-Initiating Cells in T-Cell Acute Lymphoblastic Leukemia
|
|---|---|
| Published in |
Frontiers in oncology, September 2017
|
| DOI | 10.3389/fonc.2017.00218 |
| Pubmed ID | |
| Authors |
Shi Hao Tan, Fatima Carla Bertulfo, Takaomi Sanda |
| Abstract |
T-cell acute lymphoblastic leukemia (T-ALL) is a hematological malignancy characterized by the clonal proliferation of immature T-cell precursors. T-ALL has many similar pathophysiological features to acute myeloid leukemia, which has been extensively studied in the establishment of the cancer stem cell (CSC) theory, but the CSC concept in T-ALL is still debatable. Although leukemia-initiating cells (LICs), which can generate leukemia in a xenograft setting, have been found in both human T-ALL patients and animal models, the nature and origin of LICs are largely unknown. In this review, we discuss recent studies on LICs in T-ALL and the potential mechanisms of LIC emergence in this disease. We focus on the oncogenic transcription factors TAL1, LMO2, and NOTCH1 and highlight the significance of the transcriptional regulatory programs in normal hematopoietic stem cells and T-ALL. |
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 % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 89 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 16% |
| Student > Master | 12 | 13% |
| Student > Bachelor | 11 | 12% |
| Researcher | 10 | 11% |
| Student > Doctoral Student | 7 | 8% |
| Other | 12 | 13% |
| Unknown | 23 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 25 | 28% |
| Medicine and Dentistry | 13 | 15% |
| Immunology and Microbiology | 9 | 10% |
| Agricultural and Biological Sciences | 8 | 9% |
| Nursing and Health Professions | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 26 | 29% |
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 28 September 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Frontiers in oncology
#15,925
of 22,428 outputs
Outputs of similar age
#288,569
of 328,164 outputs
Outputs of similar age from Frontiers in oncology
#74
of 96 outputs
Altmetric has tracked 25,382,440 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 22,428 research outputs from this source. They receive a mean Attention Score of 3.0. 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 328,164 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 96 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.