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X Demographics
Mendeley readers
Attention Score in Context
| Title |
High throughput sequencing of T-cell receptor repertoire using dry blood spots
|
|---|---|
| Published in |
Journal of Translational Medicine, February 2019
|
| DOI | 10.1186/s12967-019-1796-4 |
| Pubmed ID | |
| Authors |
Shang-Gin Wu, Wenjing Pan, Hongna Liu, Miranda L. Byrne-Steele, Brittany Brown, Mollye Depinet, Xiaohong Hou, Jian Han, Song Li |
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 % |
|---|---|---|
| Australia | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 21% |
| Student > Ph. D. Student | 7 | 16% |
| Unspecified | 4 | 9% |
| Other | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Other | 9 | 21% |
| Unknown | 7 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 19% |
| Medicine and Dentistry | 7 | 16% |
| Immunology and Microbiology | 7 | 16% |
| Unspecified | 4 | 9% |
| Computer Science | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 10 | 23% |
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 24 February 2019.
All research outputs
#14,154,054
of 23,130,383 outputs
Outputs from Journal of Translational Medicine
#1,727
of 4,064 outputs
Outputs of similar age
#190,091
of 352,293 outputs
Outputs of similar age from Journal of Translational Medicine
#24
of 88 outputs
Altmetric has tracked 23,130,383 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,064 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 55% 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 352,293 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 88 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 69% of its contemporaries.