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Design and clinical validation of a software program for automated measurement of mammographic breast density

Overview of attention for article published in BMC Medical Informatics and Decision Making, March 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

policy
1 policy source

Readers on

mendeley
18 Mendeley
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Title
Design and clinical validation of a software program for automated measurement of mammographic breast density
Published in
BMC Medical Informatics and Decision Making, March 2020
DOI 10.1186/s12911-020-1062-y
Pubmed ID
Authors

Adriano L. C. Araújo, Heliana B. Soares, Daniel F. Carvalho, Roberto M. Mendonça, Antonio G. Oliveira

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 11%
Student > Bachelor 2 11%
Librarian 1 6%
Professor 1 6%
Student > Master 1 6%
Other 0 0%
Unknown 11 61%
Readers by discipline Count As %
Medicine and Dentistry 2 11%
Computer Science 1 6%
Psychology 1 6%
Engineering 1 6%
Unknown 13 72%
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 22 April 2021.
All research outputs
#7,496,019
of 22,914,829 outputs
Outputs from BMC Medical Informatics and Decision Making
#766
of 1,997 outputs
Outputs of similar age
#140,839
of 359,357 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#15
of 32 outputs
Altmetric has tracked 22,914,829 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 1,997 research outputs from this source. They receive a mean Attention Score of 4.9. 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 359,357 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 56% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.