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Expression profile and specific network features of the apoptotic machinery explain relapse of acute myeloid leukemia after chemotherapy

Overview of attention for article published in BMC Cancer, July 2010
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Mentioned by

patent
1 patent

Readers on

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51 Mendeley
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Title
Expression profile and specific network features of the apoptotic machinery explain relapse of acute myeloid leukemia after chemotherapy
Published in
BMC Cancer, July 2010
DOI 10.1186/1471-2407-10-377
Pubmed ID
Authors

Marco Ragusa, Giuseppe Avola, Rosario Angelica, Davide Barbagallo, Maria Rosa Guglielmino, Laura R Duro, Alessandra Majorana, Luisa Statello, Loredana Salito, Carla Consoli, Maria Grazia Camuglia, Cinzia Di Pietro, Giuseppe Milone, Michele Purrello

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 2%
Unknown 50 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 22%
Student > Ph. D. Student 7 14%
Student > Doctoral Student 5 10%
Student > Master 4 8%
Other 3 6%
Other 10 20%
Unknown 11 22%
Readers by discipline Count As %
Medicine and Dentistry 13 25%
Agricultural and Biological Sciences 11 22%
Biochemistry, Genetics and Molecular Biology 9 18%
Psychology 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 3 6%
Unknown 12 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 December 2022.
All research outputs
#7,682,308
of 23,377,816 outputs
Outputs from BMC Cancer
#2,137
of 8,461 outputs
Outputs of similar age
#34,719
of 97,173 outputs
Outputs of similar age from BMC Cancer
#19
of 56 outputs
Altmetric has tracked 23,377,816 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,461 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 68% 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 97,173 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.