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Identification of a radiosensitivity signature using integrative metaanalysis of published microarray data for NCI-60 cancer cells

Overview of attention for article published in BMC Genomics, July 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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1 X user
patent
2 patents

Citations

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112 Dimensions

Readers on

mendeley
92 Mendeley
citeulike
1 CiteULike
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Title
Identification of a radiosensitivity signature using integrative metaanalysis of published microarray data for NCI-60 cancer cells
Published in
BMC Genomics, July 2012
DOI 10.1186/1471-2164-13-348
Pubmed ID
Authors

Han Sang Kim, Sang Cheol Kim, Sun Jeong Kim, Chan Hee Park, Hei-Cheul Jeung, Yong Bae Kim, Joong Bae Ahn, Hyun Cheol Chung, Sun Young Rha

Abstract

In the postgenome era, a prediction of response to treatment could lead to better dose selection for patients in radiotherapy. To identify a radiosensitive gene signature and elucidate related signaling pathways, four different microarray experiments were reanalyzed before radiotherapy.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 1%
Argentina 1 1%
Unknown 90 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 22%
Researcher 14 15%
Student > Master 12 13%
Student > Bachelor 7 8%
Other 6 7%
Other 17 18%
Unknown 16 17%
Readers by discipline Count As %
Medicine and Dentistry 25 27%
Agricultural and Biological Sciences 17 18%
Biochemistry, Genetics and Molecular Biology 17 18%
Computer Science 4 4%
Physics and Astronomy 2 2%
Other 5 5%
Unknown 22 24%
Attention Score in Context

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 08 July 2020.
All research outputs
#7,172,306
of 22,673,450 outputs
Outputs from BMC Genomics
#3,411
of 10,614 outputs
Outputs of similar age
#52,469
of 164,872 outputs
Outputs of similar age from BMC Genomics
#30
of 121 outputs
Altmetric has tracked 22,673,450 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 10,614 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 66% 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 164,872 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 67% of its contemporaries.
We're also able to compare this research output to 121 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 68% of its contemporaries.