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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Barcode identification for single cell genomics
|
|---|---|
| Published in |
BMC Bioinformatics, January 2019
|
| DOI | 10.1186/s12859-019-2612-0 |
| Pubmed ID | |
| Authors |
Akshay Tambe, Lior Pachter |
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 % |
|---|---|---|
| United Kingdom | 4 | 20% |
| United States | 3 | 15% |
| France | 1 | 5% |
| Canada | 1 | 5% |
| Germany | 1 | 5% |
| Unknown | 10 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 12 | 60% |
| Members of the public | 8 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Unknown | 130 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 24% |
| Researcher | 20 | 15% |
| Student > Master | 20 | 15% |
| Student > Bachelor | 12 | 9% |
| Student > Postgraduate | 8 | 6% |
| Other | 12 | 9% |
| Unknown | 27 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 33 | 25% |
| Agricultural and Biological Sciences | 29 | 22% |
| Computer Science | 9 | 7% |
| Medicine and Dentistry | 8 | 6% |
| Engineering | 6 | 5% |
| Other | 15 | 11% |
| Unknown | 31 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 28 April 2023.
All research outputs
#1,284,942
of 24,679,965 outputs
Outputs from BMC Bioinformatics
#147
of 7,567 outputs
Outputs of similar age
#30,794
of 447,284 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 192 outputs
Altmetric has tracked 24,679,965 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,567 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 98% 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 447,284 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 192 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.