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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exploring and analysing single cell multi-omics data with VDJView
|
|---|---|
| Published in |
BMC Medical Genomics, February 2020
|
| DOI | 10.1186/s12920-020-0696-z |
| Pubmed ID | |
| Authors |
Jerome Samir, Simone Rizzetto, Money Gupta, Fabio Luciani |
X Demographics
The data shown below were collected from the profiles of 36 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 | 8 | 22% |
| United States | 3 | 8% |
| United Kingdom | 3 | 8% |
| Germany | 3 | 8% |
| Norway | 2 | 6% |
| Israel | 1 | 3% |
| Curaçao | 1 | 3% |
| Mexico | 1 | 3% |
| Singapore | 1 | 3% |
| Other | 6 | 17% |
| Unknown | 7 | 19% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 47% |
| Scientists | 16 | 44% |
| Practitioners (doctors, other healthcare professionals) | 3 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 28% |
| Student > Ph. D. Student | 11 | 14% |
| Student > Master | 11 | 14% |
| Student > Bachelor | 7 | 9% |
| Student > Doctoral Student | 2 | 3% |
| Other | 9 | 12% |
| Unknown | 15 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 22 | 29% |
| Immunology and Microbiology | 9 | 12% |
| Medicine and Dentistry | 7 | 9% |
| Agricultural and Biological Sciences | 7 | 9% |
| Computer Science | 7 | 9% |
| Other | 7 | 9% |
| Unknown | 17 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 02 June 2020.
All research outputs
#1,656,060
of 24,076,257 outputs
Outputs from BMC Medical Genomics
#44
of 1,300 outputs
Outputs of similar age
#38,308
of 364,175 outputs
Outputs of similar age from BMC Medical Genomics
#2
of 36 outputs
Altmetric has tracked 24,076,257 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,300 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 96% 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 364,175 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 89% of its contemporaries.
We're also able to compare this research output to 36 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 97% of its contemporaries.