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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analysis of telomerase target gene expression effects from murine models in patient cohorts by homology translation and random survival forest modeling
|
|---|---|
| Published in |
Data in Brief, January 2016
|
| DOI | 10.1016/j.gdata.2016.01.014 |
| Pubmed ID | |
| Authors |
Frederik Otzen Bagger, Claudia Bruedigam, Steven W Lane |
| Abstract |
Acute myeloid leukemia (AML) is an aggressive and rapidly fatal blood cancer that affects patients of any age group. Despite an initial response to standard chemotherapy, most patients relapse and this relapse is mediated by leukemia stem cell (LSC) populations. We identified a functional requirement for telomerase in sustaining LSC populations in murine models of AML and validated this requirement using an inhibitor of telomerase in human AML. Here, we describe in detail the contents, quality control and methods of the gene expression analysis used in the published study (Gene Expression Omnibus GSE63242). Additionally, we provide annotated gene lists of telomerase regulated genes in AML and R code snippets to access and analyze the data used in the original manuscript. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 33% |
| Student > Ph. D. Student | 3 | 25% |
| Other | 1 | 8% |
| Librarian | 1 | 8% |
| Student > Bachelor | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 2 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 25% |
| Medicine and Dentistry | 2 | 17% |
| Linguistics | 1 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Social Sciences | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 3 | 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 17 March 2016.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from Data in Brief
#2,354
of 3,677 outputs
Outputs of similar age
#299,740
of 405,473 outputs
Outputs of similar age from Data in Brief
#77
of 137 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,677 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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We're also able to compare this research output to 137 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.