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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Characterization of 46 patient-specific BCR-ABL1 fusions and detection of SNPs upstream and downstream the breakpoints in chronic myeloid leukemia using next generation sequencing
|
|---|---|
| Published in |
Molecular Cancer, April 2015
|
| DOI | 10.1186/s12943-015-0363-8 |
| Pubmed ID | |
| Authors |
Jana Linhartova, Lenka Hovorkova, Simona Soverini, Adela Benesova, Monika Jaruskova, Hana Klamova, Jan Zuna, Katerina Machova Polakova |
| Abstract |
In chronic myeloid leukemia, the identification of individual BCR-ABL1 fusions is required for the development of personalized medicine approach for minimal residual disease monitoring at the DNA level. Next generation sequencing (NGS) of amplicons larger than 1000 bp simplified and accelerated a process of characterization of patient-specific BCR-ABL1 genomic fusions. NGS of large regions upstream and downstream the individual breakpoints in BCR and ABL1 genes, respectively, also provided information about the sequence variants such are single nucleotide polymorphisms. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 24% |
| Student > Ph. D. Student | 5 | 15% |
| Student > Bachelor | 4 | 12% |
| Student > Doctoral Student | 3 | 9% |
| Other | 2 | 6% |
| Other | 5 | 15% |
| Unknown | 6 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 33% |
| Biochemistry, Genetics and Molecular Biology | 9 | 27% |
| Agricultural and Biological Sciences | 3 | 9% |
| Immunology and Microbiology | 2 | 6% |
| Unknown | 8 | 24% |
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 19 January 2016.
All research outputs
#14,225,412
of 22,805,349 outputs
Outputs from Molecular Cancer
#902
of 1,720 outputs
Outputs of similar age
#139,419
of 265,103 outputs
Outputs of similar age from Molecular Cancer
#21
of 47 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,720 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 43rd percentile – i.e., 43% 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 265,103 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.