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X Demographics
Mendeley readers
Attention Score in Context
| Title |
HDAM: a resource of human disease associated mutations from next generation sequencing studies
|
|---|---|
| Published in |
BMC Medical Genomics, January 2013
|
| DOI | 10.1186/1755-8794-6-s1-s16 |
| Pubmed ID | |
| Authors |
Meiwen Jia, Yanli Liu, Zhongchao Shen, Chen Zhao, Meixia Zhang, Zhenghui Yi, Chengping Wen, Youping Deng, Tieliu Shi |
| Abstract |
Next generation sequencing (NGS) technologies have greatly facilitated the rapid and economical detection of pathogenic mutations in human disorders. However, mutation descriptions are hard to be compared and integrated due to various reference sequences and annotation tools adopted in different articles as well as the nomenclature of diseases/traits. |
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 | 4 | 67% |
| United Kingdom | 1 | 17% |
| Australia | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Members of the public | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 3% |
| Unknown | 28 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 34% |
| Student > Ph. D. Student | 5 | 17% |
| Student > Master | 3 | 10% |
| Student > Doctoral Student | 2 | 7% |
| Other | 2 | 7% |
| Other | 5 | 17% |
| Unknown | 2 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 31% |
| Medicine and Dentistry | 8 | 28% |
| Biochemistry, Genetics and Molecular Biology | 3 | 10% |
| Computer Science | 3 | 10% |
| Neuroscience | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 5 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 07 March 2013.
All research outputs
#6,376,289
of 22,696,971 outputs
Outputs from BMC Medical Genomics
#288
of 1,213 outputs
Outputs of similar age
#69,491
of 280,505 outputs
Outputs of similar age from BMC Medical Genomics
#5
of 14 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,213 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 76% 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 280,505 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 14 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 64% of its contemporaries.