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Derivation and validation of a simple clinical bedside score (ATLAS) for Clostridium difficile infection which predicts response to therapy

Overview of attention for article published in BMC Infectious Diseases, March 2013
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  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

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Citations

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Title
Derivation and validation of a simple clinical bedside score (ATLAS) for Clostridium difficile infection which predicts response to therapy
Published in
BMC Infectious Diseases, March 2013
DOI 10.1186/1471-2334-13-148
Pubmed ID
Authors

Mark A Miller, Thomas Louie, Kathleen Mullane, Karl Weiss, Arnold Lentnek, Yoav Golan, Yin Kean, Pam Sears

Abstract

Clostridium difficile infection (CDI) continues to be a frequent and potentially severe infection. There is currently no validated clinical tool for use at the time of CDI diagnosis to categorize patients in order to predict response to therapy.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 1%
Spain 1 1%
Germany 1 1%
Unknown 86 97%

Demographic breakdown

Readers by professional status Count As %
Other 15 17%
Researcher 13 15%
Student > Bachelor 10 11%
Student > Postgraduate 9 10%
Student > Ph. D. Student 7 8%
Other 23 26%
Unknown 12 13%
Readers by discipline Count As %
Medicine and Dentistry 43 48%
Unspecified 6 7%
Immunology and Microbiology 5 6%
Biochemistry, Genetics and Molecular Biology 4 4%
Agricultural and Biological Sciences 3 3%
Other 7 8%
Unknown 21 24%
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 26 March 2013.
All research outputs
#14,102,908
of 23,881,329 outputs
Outputs from BMC Infectious Diseases
#3,487
of 7,931 outputs
Outputs of similar age
#108,673
of 199,484 outputs
Outputs of similar age from BMC Infectious Diseases
#53
of 135 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,931 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 54% 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 199,484 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 135 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 58% of its contemporaries.