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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Two Novel Disease-Causing Mutations in the LDLR of Familial Hypercholesterolemia
|
|---|---|
| Published in |
Frontiers in Genetics, December 2021
|
| DOI | 10.3389/fgene.2021.762587 |
| Pubmed ID | |
| Authors |
Haochang Hu, Tian Shu, Jun Ma, Ruoyu Chen, Jian Wang, Shuangshuang Wang, Shaoyi Lin, Xiaomin Chen |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 25% |
| Finland | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Student > Ph. D. Student | 1 | 9% |
| Student > Master | 1 | 9% |
| Researcher | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 5 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 9% |
| Biochemistry, Genetics and Molecular Biology | 1 | 9% |
| Agricultural and Biological Sciences | 1 | 9% |
| Medicine and Dentistry | 1 | 9% |
| Engineering | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 6 | 55% |
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 01 January 2022.
All research outputs
#15,279,967
of 25,837,817 outputs
Outputs from Frontiers in Genetics
#3,356
of 13,780 outputs
Outputs of similar age
#226,187
of 515,032 outputs
Outputs of similar age from Frontiers in Genetics
#164
of 766 outputs
Altmetric has tracked 25,837,817 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 13,780 research outputs from this source. They receive a mean Attention Score of 3.8. 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 515,032 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 56% of its contemporaries.
We're also able to compare this research output to 766 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.