You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Test development, optimization and validation of a WGS pipeline for genetic disorders
|
|---|---|
| Published in |
BMC Medical Genomics, April 2023
|
| DOI | 10.1186/s12920-023-01495-x |
| Pubmed ID | |
| Authors |
Ziying Yang, Xu Yang, Yan Sun, Yaoshen Wang, Lijie Song, Zhihong Qiao, Zhonghai Fang, Zhonghua Wang, Lipei Liu, Yunmei Chen, Saiying Yan, Xueqin Guo, Junqing Zhang, Chunna Fan, Fengxia Liu, Zhiyu Peng, Huanhuan Peng, Jun Sun, Wei Chen |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 14% |
| Other | 1 | 7% |
| Researcher | 1 | 7% |
| Professor > Associate Professor | 1 | 7% |
| Student > Postgraduate | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 8 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 21% |
| Agricultural and Biological Sciences | 1 | 7% |
| Economics, Econometrics and Finance | 1 | 7% |
| Unknown | 9 | 64% |
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 05 June 2023.
All research outputs
#16,400,221
of 24,929,945 outputs
Outputs from BMC Medical Genomics
#666
of 1,363 outputs
Outputs of similar age
#223,184
of 407,605 outputs
Outputs of similar age from BMC Medical Genomics
#11
of 44 outputs
Altmetric has tracked 24,929,945 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,363 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 407,605 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.