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Metabolic phenotypes in primary unknown metastatic carcinoma

Overview of attention for article published in Journal of Translational Medicine, January 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
1 tweeter
patent
1 patent

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
11 Mendeley
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Title
Metabolic phenotypes in primary unknown metastatic carcinoma
Published in
Journal of Translational Medicine, January 2014
DOI 10.1186/1479-5876-12-2
Pubmed ID
Authors

Hye Min Kim, Do Hee Kim, Woo Hee Jung, Ja Seung Koo

Abstract

The purpose of this study is to evaluate expression of metabolism-related proteins in primary unknown metastatic carcinoma (PUMC) and associated implications for treatment.

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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 27%
Student > Ph. D. Student 3 27%
Student > Master 2 18%
Unspecified 1 9%
Researcher 1 9%
Other 1 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 36%
Medicine and Dentistry 3 27%
Nursing and Health Professions 1 9%
Unspecified 1 9%
Neuroscience 1 9%
Other 1 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 21 December 2017.
All research outputs
#5,418,107
of 17,356,510 outputs
Outputs from Journal of Translational Medicine
#863
of 3,202 outputs
Outputs of similar age
#81,306
of 273,383 outputs
Outputs of similar age from Journal of Translational Medicine
#74
of 245 outputs
Altmetric has tracked 17,356,510 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 3,202 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one has gotten more attention than average, scoring higher than 71% 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 273,383 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 69% of its contemporaries.
We're also able to compare this research output to 245 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 65% of its contemporaries.