| Title |
Cascade screening for familial hypercholesterolemia-identification of the C308Y mutation in multiple family members and relatives for the first time in mainland China
|
|---|---|
| Published in |
BMC Medical Genomics, November 2019
|
| DOI | 10.1186/s12881-019-0901-0 |
| Pubmed ID | |
| Authors |
Weirong Jin, Qiuwang Zhang, Bei Wang, Lili Pan, Hongyou Qin, Daying Yang, Xiangqun Zhou, Yongcai Du, Ling Lin, Michael J. Kutryk |
X Demographics
The data shown below were collected from the profiles of 6 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 | 17% |
| France | 1 | 17% |
| Finland | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 19% |
| Student > Master | 3 | 19% |
| Researcher | 2 | 13% |
| Student > Ph. D. Student | 1 | 6% |
| Unspecified | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 4 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 25% |
| Biochemistry, Genetics and Molecular Biology | 4 | 25% |
| Unspecified | 1 | 6% |
| Economics, Econometrics and Finance | 1 | 6% |
| Psychology | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 5 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 10 November 2019.
All research outputs
#8,168,749
of 25,387,668 outputs
Outputs from BMC Medical Genomics
#602
of 2,444 outputs
Outputs of similar age
#142,826
of 380,180 outputs
Outputs of similar age from BMC Medical Genomics
#11
of 57 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 75% 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 380,180 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 62% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.