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Genomic profile analysis of diffuse-type gastric cancers

Overview of attention for article published in Genome Biology, April 2014
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About this Attention Score

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

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Citations

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61 Dimensions

Readers on

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81 Mendeley
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2 CiteULike
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Title
Genomic profile analysis of diffuse-type gastric cancers
Published in
Genome Biology, April 2014
DOI 10.1186/gb-2014-15-4-r55
Pubmed ID
Authors

Yeon-Su Lee, Yun Sung Cho, Geon Kook Lee, Sunghoon Lee, Young-Woo Kim, Sungwoong Jho, Hak-Min Kim, Seung-Hyun Hong, Jung-Ah Hwang, Sook-young Kim, Dongwan Hong, Il Ju Choi, Byung Chul Kim, Byoung-Chul Kim, Chul Hong Kim, Hansol Choi, Youngju Kim, Kyung Wook Kim, Gu Kong, Hyung Lae Kim, Jong Bhak, Seung Hoon Lee, Jin Soo Lee

Abstract

Stomach cancer is the third deadliest among all cancers worldwide. Although incidence of the intestinal-type gastric cancer has decreased, the incidence of diffuse-type is still increasing and its progression is notoriously aggressive. There is insufficient information on genome variations of diffuse-type gastric cancer because its cells are usually mixed with normal cells, and this low cellularity has made it difficult to analyze the genome.

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

Geographical breakdown

Country Count As %
Japan 1 1%
Germany 1 1%
Brazil 1 1%
Unknown 78 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 26%
Student > Ph. D. Student 10 12%
Student > Master 9 11%
Other 6 7%
Student > Bachelor 6 7%
Other 14 17%
Unknown 15 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 27%
Biochemistry, Genetics and Molecular Biology 15 19%
Medicine and Dentistry 14 17%
Computer Science 5 6%
Arts and Humanities 2 2%
Other 2 2%
Unknown 21 26%
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 22 April 2014.
All research outputs
#8,261,756
of 25,371,288 outputs
Outputs from Genome Biology
#3,444
of 4,467 outputs
Outputs of similar age
#76,356
of 239,195 outputs
Outputs of similar age from Genome Biology
#44
of 48 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 22nd percentile – i.e., 22% 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 239,195 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 48 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.