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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)

Mentioned by

twitter
1 tweeter
patent
2 patents

Readers on

mendeley
75 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.

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 75 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 73 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 24%
Researcher 13 17%
Student > Master 11 15%
Other 5 7%
Student > Bachelor 4 5%
Other 15 20%
Unknown 9 12%
Readers by discipline Count As %
Medicine and Dentistry 22 29%
Agricultural and Biological Sciences 17 23%
Biochemistry, Genetics and Molecular Biology 15 20%
Computer Science 2 3%
Physics and Astronomy 2 3%
Other 2 3%
Unknown 15 20%

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
#5,725,371
of 18,156,586 outputs
Outputs from BMC Genomics
#2,982
of 9,536 outputs
Outputs of similar age
#42,342
of 136,410 outputs
Outputs of similar age from BMC Genomics
#1
of 1 outputs
Altmetric has tracked 18,156,586 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 9,536 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 67% 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 136,410 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 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