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Systematic transcriptome analysis of the zebrafish model of diamond-blackfan anemia induced by RPS24 deficiency

Overview of attention for article published in BMC Genomics, January 2014
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Mentioned by

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3 tweeters

Citations

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10 Dimensions

Readers on

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33 Mendeley
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Title
Systematic transcriptome analysis of the zebrafish model of diamond-blackfan anemia induced by RPS24 deficiency
Published in
BMC Genomics, January 2014
DOI 10.1186/1471-2164-15-759
Pubmed ID
Authors

Binfeng Song, Qian Zhang, Zhaojun Zhang, Yang Wan, Qiong Jia, Xiaomin Wang, Xiaofan Zhu, Anskar Yu-Hung Leung, Tao Cheng, Xiangdong Fang, Weiping Yuan, Haibo Jia

Abstract

Diamond-Blackfan anemia (DBA) is a class of human diseases linked to defective ribosome biogenesis that results in clinical phenotypes. Genetic mutations in ribosome protein (RP) genes lead to DBA phenotypes, including hematopoietic defects and physical deformities. However, little is known about the global regulatory network as well as key miRNAs and gene pathways in the zebrafish model of DBA.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 36%
Researcher 7 21%
Unspecified 5 15%
Student > Master 3 9%
Student > Bachelor 2 6%
Other 4 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 27%
Agricultural and Biological Sciences 9 27%
Unspecified 6 18%
Medicine and Dentistry 2 6%
Computer Science 2 6%
Other 5 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 September 2014.
All research outputs
#9,479,974
of 12,378,406 outputs
Outputs from BMC Genomics
#5,222
of 7,251 outputs
Outputs of similar age
#127,901
of 209,350 outputs
Outputs of similar age from BMC Genomics
#170
of 253 outputs
Altmetric has tracked 12,378,406 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,251 research outputs from this source. They receive a mean Attention Score of 4.3. 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 209,350 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 253 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.