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Computational analysis of the effect of the type of LVAD flow on coronary perfusion and ventricular afterload

Overview of attention for article published in The Journal of Physiological Sciences, April 2009
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Mentioned by

patent
5 patents

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Computational analysis of the effect of the type of LVAD flow on coronary perfusion and ventricular afterload
Published in
The Journal of Physiological Sciences, April 2009
DOI 10.1007/s12576-009-0037-7
Pubmed ID
Authors

Ki Moo Lim, In Su Kim, Seong Wook Choi, Byung Goo Min, Yong Soon Won, Heon Young Kim, Eun Bo Shim

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 26%
Researcher 4 12%
Student > Ph. D. Student 4 12%
Student > Doctoral Student 2 6%
Other 2 6%
Other 6 18%
Unknown 7 21%
Readers by discipline Count As %
Engineering 16 47%
Medicine and Dentistry 5 15%
Agricultural and Biological Sciences 2 6%
Sports and Recreations 1 3%
Mathematics 1 3%
Other 2 6%
Unknown 7 21%
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 02 April 2024.
All research outputs
#8,386,799
of 25,059,640 outputs
Outputs from The Journal of Physiological Sciences
#89
of 330 outputs
Outputs of similar age
#36,387
of 102,423 outputs
Outputs of similar age from The Journal of Physiological Sciences
#1
of 1 outputs
Altmetric has tracked 25,059,640 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 330 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 64% 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 102,423 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them