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Heart dysfunction in patients with acute ischemic stroke or TIA does not predict all-cause mortality at long-term follow-up

Overview of attention for article published in BMC Neurology, September 2013
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1 tweeter

Citations

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9 Dimensions

Readers on

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49 Mendeley
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Title
Heart dysfunction in patients with acute ischemic stroke or TIA does not predict all-cause mortality at long-term follow-up
Published in
BMC Neurology, September 2013
DOI 10.1186/1471-2377-13-122
Pubmed ID
Authors

Alexandra Holmström, Michael LX Fu, Clara Hjalmarsson, Lena Bokemark, Björn Andersson

Abstract

Despite heart failure being a substantial risk factor for stroke, few studies have evaluated the predictive value of heart dysfunction for all-cause mortality in patients with acute ischemic stroke, in particular in the elderly. The aim of this study was to investigate whether impaired heart function in elderly patients can predict all-cause mortality after acute ischemic stroke or transient ischemic attack (TIA).

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 48 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 16%
Student > Bachelor 8 16%
Student > Postgraduate 6 12%
Student > Doctoral Student 5 10%
Student > Ph. D. Student 4 8%
Other 9 18%
Unknown 9 18%
Readers by discipline Count As %
Medicine and Dentistry 27 55%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Engineering 2 4%
Computer Science 2 4%
Agricultural and Biological Sciences 1 2%
Other 2 4%
Unknown 13 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 23 September 2013.
All research outputs
#3,068,537
of 4,507,280 outputs
Outputs from BMC Neurology
#669
of 900 outputs
Outputs of similar age
#66,489
of 98,199 outputs
Outputs of similar age from BMC Neurology
#42
of 54 outputs
Altmetric has tracked 4,507,280 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 900 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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 98,199 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.