| Title |
ClinVar: improving access to variant interpretations and supporting evidence
|
|---|---|
| Published in |
Nucleic Acids Research, November 2017
|
| DOI | 10.1093/nar/gkx1153 |
| Pubmed ID | |
| Authors |
Melissa J. Landrum, Jennifer M. Lee, Mark Benson, Garth R. Brown, Chen Chao, Shanmuga Chitipiralla, Baoshan Gu, Jennifer Hart, Douglas Hoffman, Wonhee Jang, Karen Karapetyan, Kenneth Katz, Chunlei Liu, Zenith Maddipatla, Adriana Malheiro, Kurt McDaniel, Michael Ovetsky, George Riley, George Zhou, J. Bradley Holmes, Brandi L. Kattman, Donna R. Maglott |
X Demographics
The data shown below were collected from the profiles of 10 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 | 4 | 40% |
| India | 2 | 20% |
| Colombia | 1 | 10% |
| Greece | 1 | 10% |
| United Kingdom | 1 | 10% |
| Unknown | 1 | 10% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 80% |
| Scientists | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,635 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1635 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 259 | 16% |
| Researcher | 205 | 13% |
| Student > Bachelor | 187 | 11% |
| Student > Master | 167 | 10% |
| Student > Doctoral Student | 92 | 6% |
| Other | 182 | 11% |
| Unknown | 543 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 544 | 33% |
| Medicine and Dentistry | 175 | 11% |
| Agricultural and Biological Sciences | 131 | 8% |
| Computer Science | 50 | 3% |
| Neuroscience | 30 | 2% |
| Other | 110 | 7% |
| Unknown | 595 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 36. 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 03 January 2024.
All research outputs
#1,154,636
of 25,837,817 outputs
Outputs from Nucleic Acids Research
#683
of 27,769 outputs
Outputs of similar age
#25,584
of 450,176 outputs
Outputs of similar age from Nucleic Acids Research
#22
of 378 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27,769 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done particularly well, scoring higher than 97% 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 450,176 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 378 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.