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American Association for Cancer Research

Article Metrics

Personalized Single-Cell Proteogenomics to Distinguish Acute Myeloid Leukemia from Nonmalignant Clonal Hematopoiesis

Overview of attention for article published in Blood Cancer Discovery, May 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
8 news outlets
twitter
41 tweeters
Title
Personalized Single-Cell Proteogenomics to Distinguish Acute Myeloid Leukemia from Nonmalignant Clonal Hematopoiesis
Published in
Blood Cancer Discovery, May 2021
DOI 10.1158/2643-3230.bcd-21-0046
Authors

Laura W. Dillon, Jack Ghannam, Chidera Nosiri, Gege Gui, Meghali Goswami, Katherine R. Calvo, Katherine E. Lindblad, Karolyn A. Oetjen, Matthew D. Wilkerson, Anthony R. Soltis, Gauthaman Sukumar, Clifton L. Dalgard, Julie Thompson, Janet Valdez, Christin B. DeStefano, Catherine Lai, Adam Sciambi, Robert Durruthy-Durruthy, Aaron Llanso, Saurabh Gulati, Shu Wang, Aik Ooi, Pradeep K. Dagur, J. Philip McCoy, Patrick Burr, Yuesheng Li, Christopher S. Hourigan

Twitter Demographics

The data shown below were collected from the profiles of 41 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Attention Score in Context

This research output has an Altmetric Attention Score of 76. 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 31 May 2021.
All research outputs
#344,969
of 17,904,439 outputs
Outputs from Blood Cancer Discovery
#5
of 76 outputs
Outputs of similar age
#6,139
of 207,443 outputs
Outputs of similar age from Blood Cancer Discovery
#1
of 12 outputs
Altmetric has tracked 17,904,439 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 76 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.0. This one has done particularly well, scoring higher than 93% 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 207,443 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 12 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 99% of its contemporaries.