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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Balancing sensitivity and specificity in distinguishing TCR groups by CDR sequence similarity
|
|---|---|
| Published in |
BMC Bioinformatics, May 2019
|
| DOI | 10.1186/s12859-019-2864-8 |
| Pubmed ID | |
| Authors |
Neerja Thakkar, Chris Bailey-Kellogg |
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 % |
|---|---|---|
| Netherlands | 1 | 25% |
| Germany | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 27% |
| Student > Ph. D. Student | 12 | 20% |
| Student > Master | 8 | 13% |
| Other | 3 | 5% |
| Student > Postgraduate | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 13 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 14 | 23% |
| Biochemistry, Genetics and Molecular Biology | 12 | 20% |
| Agricultural and Biological Sciences | 9 | 15% |
| Computer Science | 3 | 5% |
| Mathematics | 1 | 2% |
| Other | 6 | 10% |
| Unknown | 15 | 25% |
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 04 June 2019.
All research outputs
#15,810,483
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#4,581
of 7,793 outputs
Outputs of similar age
#195,405
of 368,739 outputs
Outputs of similar age from BMC Bioinformatics
#107
of 199 outputs
Altmetric has tracked 26,017,215 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 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 37th percentile – i.e., 37% 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 368,739 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 199 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.