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Analytical and clinical validation of a novel in-house deep-sequencing method for minimal residual disease monitoring in a phase II trial for multiple myeloma

Overview of attention for article published in Leukemia, February 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users
patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
63 Mendeley
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Title
Analytical and clinical validation of a novel in-house deep-sequencing method for minimal residual disease monitoring in a phase II trial for multiple myeloma
Published in
Leukemia, February 2017
DOI 10.1038/leu.2017.58
Pubmed ID
Authors

J Martinez-Lopez, B Sanchez-Vega, S Barrio, I Cuenca, Y Ruiz-Heredia, R Alonso, I Rapado, C Marin, M-T Cedena, B Paiva, N Puig, M-V Mateos, R Ayala, M-T Hernández, C Jimenez, L Rosiñol, R Martínez, A-I Teruel, N Gutiérrez, M-L Martin-Ramos, A Oriol, J Bargay, J Bladé, J San-Miguel, R Garcia-Sanz, J-J Lahuerta

Abstract

Leukemia accepted article preview online, 17 February 2017. doi:10.1038/leu.2017.58.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 27%
Student > Ph. D. Student 10 16%
Student > Master 6 10%
Other 5 8%
Student > Doctoral Student 3 5%
Other 11 17%
Unknown 11 17%
Readers by discipline Count As %
Medicine and Dentistry 24 38%
Biochemistry, Genetics and Molecular Biology 16 25%
Agricultural and Biological Sciences 3 5%
Immunology and Microbiology 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 4 6%
Unknown 13 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 18 July 2023.
All research outputs
#7,310,791
of 24,129,125 outputs
Outputs from Leukemia
#2,352
of 5,235 outputs
Outputs of similar age
#111,598
of 313,023 outputs
Outputs of similar age from Leukemia
#55
of 92 outputs
Altmetric has tracked 24,129,125 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 5,235 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one has gotten more attention than average, scoring higher than 54% 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 313,023 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.