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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Immune2vec: Embedding B/T Cell Receptor Sequences in ℝ N Using Natural Language Processing
|
|---|---|
| Published in |
Frontiers in immunology, July 2021
|
| DOI | 10.3389/fimmu.2021.680687 |
| Pubmed ID | |
| Authors |
Miri Ostrovsky-Berman, Boaz Frankel, Pazit Polak, Gur Yaari |
X Demographics
The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 10% |
| Israel | 2 | 10% |
| United States | 2 | 10% |
| Japan | 1 | 5% |
| Norway | 1 | 5% |
| Germany | 1 | 5% |
| France | 1 | 5% |
| Mexico | 1 | 5% |
| Denmark | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 7 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 50% |
| Scientists | 9 | 45% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 12% |
| Researcher | 5 | 12% |
| Other | 3 | 7% |
| Student > Doctoral Student | 2 | 5% |
| Unspecified | 2 | 5% |
| Other | 7 | 17% |
| Unknown | 18 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 17% |
| Immunology and Microbiology | 5 | 12% |
| Unspecified | 2 | 5% |
| Arts and Humanities | 2 | 5% |
| Computer Science | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 21 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 25 January 2024.
All research outputs
#2,514,139
of 25,980,896 outputs
Outputs from Frontiers in immunology
#2,521
of 32,688 outputs
Outputs of similar age
#58,020
of 448,747 outputs
Outputs of similar age from Frontiers in immunology
#124
of 1,418 outputs
Altmetric has tracked 25,980,896 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,688 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done particularly well, scoring higher than 92% 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 448,747 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 87% of its contemporaries.
We're also able to compare this research output to 1,418 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 91% of its contemporaries.