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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mutations affecting both the rearranged and the unrearranged PML alleles in refractory acute promyelocytic leukaemia
|
|---|---|
| Published in |
British Journal of Haematology, January 2016
|
| DOI | 10.1111/bjh.13910 |
| Pubmed ID | |
| Authors |
Licia Iaccarino, Tiziana Ottone, Mariadomenica Divona, Laura Cicconi, Roberto Cairoli, Maria Teresa Voso, Francesco Lo‐Coco |
| Abstract |
Acute promyelocytic leukaemia (APL) is characterized by the PML/RARA fusion transcript. PML and RARA mutations have been shown to directly respond to arsenic trioxide (ATO) and all-trans retinoic (ATRA). We analysed the prevalence of PML mutations in 32 patients with de novo or therapy-related APL (t-APL; n = 5), treated with ATO. We identified one ATO-resistant t-APL patient, who presented a PML A216T mutation in both the rearranged and unrearranged PML alleles, and two mutations in the rearranged RARA gene. In this patient, subclones with different PML and RARA mutations acquired clonal dominance during the disease course, probably leading to treatment resistance. |
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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 20% |
| Professor > Associate Professor | 3 | 12% |
| Student > Master | 3 | 12% |
| Other | 2 | 8% |
| Researcher | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 7 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 28% |
| Medicine and Dentistry | 6 | 24% |
| Agricultural and Biological Sciences | 3 | 12% |
| Economics, Econometrics and Finance | 1 | 4% |
| Materials Science | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 7 | 28% |
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 09 March 2016.
All research outputs
#19,977,226
of 24,549,201 outputs
Outputs from British Journal of Haematology
#6,778
of 7,908 outputs
Outputs of similar age
#295,906
of 403,627 outputs
Outputs of similar age from British Journal of Haematology
#62
of 84 outputs
Altmetric has tracked 24,549,201 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 7,908 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 6th percentile – i.e., 6% 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 403,627 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.