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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Next Generation Sequencing Data Analysis in Primary Immunodeficiency Disorders – Future Directions
|
|---|---|
| Published in |
Journal of Clinical Immunology, March 2016
|
| DOI | 10.1007/s10875-016-0260-y |
| Pubmed ID | |
| Authors |
Mingyan Fang, Hassan Abolhassani, Che Kang Lim, Jianguo Zhang, Lennart Hammarström |
| Abstract |
Primary immunodeficiency diseases (PIDs) comprise a group of highly heterogeneous immune system diseases and around 300 forms of PID have been described to date. Next Generation Sequencing (NGS) has recently become an increasingly used approach for gene identification and molecular diagnosis of human diseases. Herein we summarize the practical considerations for the interpretation of NGS data and the techniques for searching disease-related PID genes, and suggest future directions for research in this field. |
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 % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | 1% |
| Unknown | 68 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 19% |
| Student > Ph. D. Student | 9 | 13% |
| Student > Bachelor | 9 | 13% |
| Student > Doctoral Student | 8 | 12% |
| Other | 8 | 12% |
| Other | 16 | 23% |
| Unknown | 6 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 29% |
| Biochemistry, Genetics and Molecular Biology | 18 | 26% |
| Immunology and Microbiology | 10 | 14% |
| Agricultural and Biological Sciences | 6 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Other | 3 | 4% |
| Unknown | 10 | 14% |
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 17 April 2016.
All research outputs
#12,889,983
of 22,856,968 outputs
Outputs from Journal of Clinical Immunology
#811
of 1,560 outputs
Outputs of similar age
#136,077
of 300,781 outputs
Outputs of similar age from Journal of Clinical Immunology
#10
of 51 outputs
Altmetric has tracked 22,856,968 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,560 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 47th percentile – i.e., 47% 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 300,781 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 54% of its contemporaries.
We're also able to compare this research output to 51 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.