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Deep MRD profiling defines outcome and unveils different modes of treatment resistance in standard- and high-risk myeloma

Overview of attention for article published in Blood, January 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
16 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
42 Mendeley
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Title
Deep MRD profiling defines outcome and unveils different modes of treatment resistance in standard- and high-risk myeloma
Published in
Blood, January 2021
DOI 10.1182/blood.2020006731
Pubmed ID
Authors

Ibai Goicoechea, Noemi Puig, Maria-Teresa Cedena, Leire Burgos, Lourdes Cordón, María-Belén Vidriales, Juan Flores-Montero, Norma C. Gutierrez, Maria-Jose Calasanz, Maria-Luisa Martin Ramos, David Lara-Astiaso, Amaia Vilas-Zornoza, Diego Alignani, Idoia Rodriguez, Sarai Sarvide, Daniel Alameda, Juan José Garcés, Sara Rodriguez, Vicente Fresquet, Jon Celay, Ramón Garcia-Sanz, Joaquin Martinez-Lopez, Albert Oriol, Rafael Rios, Jesus Martin-Sanchez, Rafael Martinez-Martinez, Josep Sarra, Miguel-Teodoro Hernandez, Javier de la Rubia, Isabel Krsnik, Jose-Maria Moraleda, Luis Palomera, Joan Bargay, Jose-Angel Martinez-Climent, Alberto Orfao, Laura Rosiñol, Maria-Victoria Mateos, Juan-José Lahuerta, Joan Blade, Jesús San Miguel, Bruno Paiva

Twitter Demographics

The data shown below were collected from the profiles of 16 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 26%
Other 7 17%
Student > Doctoral Student 4 10%
Professor > Associate Professor 3 7%
Student > Bachelor 3 7%
Other 8 19%
Unknown 6 14%
Readers by discipline Count As %
Medicine and Dentistry 18 43%
Biochemistry, Genetics and Molecular Biology 5 12%
Arts and Humanities 2 5%
Agricultural and Biological Sciences 2 5%
Business, Management and Accounting 1 2%
Other 6 14%
Unknown 8 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 July 2021.
All research outputs
#1,105,070
of 18,710,012 outputs
Outputs from Blood
#1,040
of 27,921 outputs
Outputs of similar age
#32,740
of 304,637 outputs
Outputs of similar age from Blood
#12
of 201 outputs
Altmetric has tracked 18,710,012 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27,921 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has done particularly well, scoring higher than 96% 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 304,637 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 201 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.