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Attention Score in Context
Title |
Clinical features and gene mutational spectrum of CDKL5-related diseases in a cohort of Chinese patients
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Published in |
BMC Medical Genomics, February 2014
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DOI | 10.1186/1471-2350-15-24 |
Pubmed ID | |
Authors |
Ying Zhao, Xiaoying Zhang, Xinhua Bao, Qingping Zhang, Jingjing Zhang, Guangna Cao, Jie Zhang, Jiarui Li, Liping Wei, Hong Pan, Xiru Wu |
Abstract |
Mutations in the cyclin-dependent kinase-like 5 (CDKL5) (NM_003159.2) gene have been associated with early-onset epileptic encephalopathies or Hanefeld variants of RTT(Rett syndrome). In order to clarify the CDKL5 genotype-phenotype correlations in Chinese patients, CDKL5 mutational screening in cases with early-onset epileptic encephalopathies and RTT without MECP2 mutation were performed. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
China | 1 | 1% |
Unknown | 82 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 18% |
Researcher | 10 | 12% |
Student > Bachelor | 9 | 11% |
Other | 8 | 10% |
Student > Master | 8 | 10% |
Other | 11 | 13% |
Unknown | 22 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 21 | 25% |
Agricultural and Biological Sciences | 14 | 17% |
Biochemistry, Genetics and Molecular Biology | 9 | 11% |
Neuroscience | 5 | 6% |
Psychology | 3 | 4% |
Other | 6 | 7% |
Unknown | 25 | 30% |
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 25 February 2014.
All research outputs
#16,048,009
of 25,374,647 outputs
Outputs from BMC Medical Genomics
#1,102
of 2,444 outputs
Outputs of similar age
#128,548
of 234,813 outputs
Outputs of similar age from BMC Medical Genomics
#12
of 26 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 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 51% 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 234,813 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 26 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.