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X Demographics
Mendeley readers
Attention Score in Context
| 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 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. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 20% |
| Spain | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 40% |
| Members of the public | 2 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
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% |
| Student > Master | 4 | 11% |
| Researcher | 4 | 11% |
| Professor | 4 | 11% |
| Student > Doctoral Student | 2 | 6% |
| Other | 5 | 14% |
| Unknown | 6 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 29% |
| Medicine and Dentistry | 8 | 23% |
| Biochemistry, Genetics and Molecular Biology | 7 | 20% |
| Materials Science | 1 | 3% |
| Engineering | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 8 | 23% |
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
#13,859,387
of 23,881,329 outputs
Outputs from BMC Medical Genomics
#497
of 1,268 outputs
Outputs of similar age
#111,879
of 229,317 outputs
Outputs of similar age from BMC Medical Genomics
#13
of 21 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,268 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 60% 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 229,317 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 50% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.