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X Demographics
Mendeley readers
Attention Score in Context
Title |
scReQTL: an approach to correlate SNVs to gene expression from individual scRNA-seq datasets
|
---|---|
Published in |
BMC Genomics, January 2021
|
DOI | 10.1186/s12864-020-07334-y |
Pubmed ID | |
Authors |
Hongyu Liu, N. M. Prashant, Liam F. Spurr, Pavlos Bousounis, Nawaf Alomran, Helen Ibeawuchi, Justin Sein, Piotr Słowiński, Krasimira Tsaneva-Atanasova, Anelia Horvath |
X Demographics
The data shown below were collected from the profiles of 19 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 | 2 | 11% |
United States | 2 | 11% |
France | 1 | 5% |
India | 1 | 5% |
Austria | 1 | 5% |
Sweden | 1 | 5% |
China | 1 | 5% |
Italy | 1 | 5% |
Unknown | 9 | 47% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 11 | 58% |
Members of the public | 8 | 42% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 22% |
Researcher | 5 | 14% |
Student > Bachelor | 5 | 14% |
Student > Master | 3 | 8% |
Professor > Associate Professor | 2 | 6% |
Other | 3 | 8% |
Unknown | 10 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 11 | 31% |
Agricultural and Biological Sciences | 5 | 14% |
Business, Management and Accounting | 2 | 6% |
Unspecified | 1 | 3% |
Computer Science | 1 | 3% |
Other | 3 | 8% |
Unknown | 13 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 15 May 2021.
All research outputs
#3,731,521
of 23,577,761 outputs
Outputs from BMC Genomics
#1,398
of 10,800 outputs
Outputs of similar age
#98,048
of 504,615 outputs
Outputs of similar age from BMC Genomics
#21
of 153 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,800 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 87% 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 504,615 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 80% of its contemporaries.
We're also able to compare this research output to 153 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.