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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fast multiclonal clusterization of V(D)J recombinations from high-throughput sequencing
|
|---|---|
| Published in |
BMC Genomics, May 2014
|
| DOI | 10.1186/1471-2164-15-409 |
| Pubmed ID | |
| Authors |
Mathieu Giraud, Mikaël Salson, Marc Duez, Céline Villenet, Sabine Quief, Aurélie Caillault, Nathalie Grardel, Christophe Roumier, Claude Preudhomme, Martin Figeac |
| Abstract |
V(D)J recombinations in lymphocytes are essential for immunological diversity. They are also useful markers of pathologies. In leukemia, they are used to quantify the minimal residual disease during patient follow-up. However, the full breadth of lymphocyte diversity is not fully understood. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 5 | 50% |
| Belgium | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 80% |
| Scientists | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | <1% |
| United States | 1 | <1% |
| Russia | 1 | <1% |
| Unknown | 103 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 36 | 34% |
| Student > Ph. D. Student | 17 | 16% |
| Student > Master | 10 | 9% |
| Student > Bachelor | 6 | 6% |
| Professor > Associate Professor | 6 | 6% |
| Other | 16 | 15% |
| Unknown | 15 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 37% |
| Biochemistry, Genetics and Molecular Biology | 17 | 16% |
| Medicine and Dentistry | 13 | 12% |
| Immunology and Microbiology | 8 | 8% |
| Computer Science | 6 | 6% |
| Other | 6 | 6% |
| Unknown | 17 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 29 June 2018.
All research outputs
#3,317,912
of 25,374,917 outputs
Outputs from BMC Genomics
#1,119
of 11,244 outputs
Outputs of similar age
#31,814
of 241,296 outputs
Outputs of similar age from BMC Genomics
#29
of 268 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 90% 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 241,296 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 86% of its contemporaries.
We're also able to compare this research output to 268 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.