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Whole exome sequencing reveals concomitant mutations of multiple FA genes in individual Fanconi anemia patients

Overview of attention for article published in BMC Medical Genomics, May 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 tweeters

Citations

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13 Dimensions

Readers on

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35 Mendeley
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Title
Whole exome sequencing reveals concomitant mutations of multiple FA genes in individual Fanconi anemia patients
Published in
BMC Medical Genomics, May 2014
DOI 10.1186/1755-8794-7-24
Pubmed ID
Authors

Lixian Chang, Weiping Yuan, Huimin Zeng, Quanquan Zhou, Wei, Jianfeng Zhou, Miaomiao Li, Xiaomin Wang, Mingjiang Xu, Fengchun Yang, Yungui Yang, Tao Cheng, Xiaofan Zhu

Abstract

Fanconi anemia (FA) is a rare inherited genetic syndrome with highly variable clinical manifestations. Fifteen genetic subtypes of FA have been identified. Traditional complementation tests for grouping studies have been used generally in FA patients and in stepwise methods to identify the FA type, which can result in incomplete genetic information from FA patients.

Twitter Demographics

The data shown below were collected from the profiles of 6 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 29%
Researcher 5 14%
Student > Master 4 11%
Other 3 9%
Professor 3 9%
Other 5 14%
Unknown 5 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 29%
Biochemistry, Genetics and Molecular Biology 9 26%
Medicine and Dentistry 8 23%
Materials Science 1 3%
Engineering 1 3%
Other 0 0%
Unknown 6 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 May 2014.
All research outputs
#12,126,461
of 21,353,399 outputs
Outputs from BMC Medical Genomics
#428
of 1,136 outputs
Outputs of similar age
#92,644
of 204,660 outputs
Outputs of similar age from BMC Medical Genomics
#3
of 6 outputs
Altmetric has tracked 21,353,399 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,136 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 61% 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 204,660 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 53% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.