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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Systematic transcriptome analysis of the zebrafish model of diamond-blackfan anemia induced by RPS24 deficiency
|
|---|---|
| Published in |
BMC Genomics, September 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. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 40 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 34% |
| Researcher | 8 | 20% |
| Student > Master | 6 | 15% |
| Student > Bachelor | 2 | 5% |
| Professor | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 7 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 27% |
| Agricultural and Biological Sciences | 10 | 24% |
| Medicine and Dentistry | 4 | 10% |
| Neuroscience | 2 | 5% |
| Computer Science | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 8 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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
#14,785,250
of 22,763,032 outputs
Outputs from BMC Genomics
#6,128
of 10,638 outputs
Outputs of similar age
#130,464
of 237,921 outputs
Outputs of similar age from BMC Genomics
#99
of 201 outputs
Altmetric has tracked 22,763,032 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,638 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 37th percentile – i.e., 37% 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 237,921 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 201 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.