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Machine learning-based improvement of MDS-CBC score brings platelets into the limelight to optimize smear review in the hematology laboratory

Overview of attention for article published in BMC Cancer, September 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
3 X users

Citations

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5 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Machine learning-based improvement of MDS-CBC score brings platelets into the limelight to optimize smear review in the hematology laboratory
Published in
BMC Cancer, September 2022
DOI 10.1186/s12885-022-10059-8
Pubmed ID
Authors

Jaja Zhu, Pierre Lemaire, Stéphanie Mathis, Emily Ronez, Sylvain Clauser, Katayoun Jondeau, Pierre Fenaux, Lionel Adès, Valérie Bardet

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 12%
Student > Bachelor 1 6%
Unknown 14 82%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 6%
Nursing and Health Professions 1 6%
Agricultural and Biological Sciences 1 6%
Unknown 14 82%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 11 September 2022.
All research outputs
#15,102,803
of 24,417,958 outputs
Outputs from BMC Cancer
#3,434
of 8,667 outputs
Outputs of similar age
#199,954
of 421,332 outputs
Outputs of similar age from BMC Cancer
#46
of 219 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,667 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 58% 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 421,332 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 50% of its contemporaries.
We're also able to compare this research output to 219 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.