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X Demographics
Mendeley readers
Attention Score in Context
| Title |
scDIOR: single cell RNA-seq data IO software
|
|---|---|
| Published in |
BMC Bioinformatics, January 2022
|
| DOI | 10.1186/s12859-021-04528-3 |
| Pubmed ID | |
| Authors |
Huijian Feng, Lihui Lin, Jiekai Chen |
X Demographics
The data shown below were collected from the profiles of 12 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 | 17% |
| Korea, Republic of | 1 | 8% |
| Germany | 1 | 8% |
| India | 1 | 8% |
| United States | 1 | 8% |
| Italy | 1 | 8% |
| Portugal | 1 | 8% |
| Unknown | 4 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 50% |
| Scientists | 6 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 26% |
| Student > Bachelor | 4 | 13% |
| Student > Ph. D. Student | 4 | 13% |
| Other | 2 | 6% |
| Lecturer | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 12 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 23% |
| Agricultural and Biological Sciences | 4 | 13% |
| Computer Science | 2 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 15 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 08 August 2023.
All research outputs
#1,450,827
of 24,228,883 outputs
Outputs from BMC Bioinformatics
#222
of 7,506 outputs
Outputs of similar age
#36,219
of 508,842 outputs
Outputs of similar age from BMC Bioinformatics
#9
of 144 outputs
Altmetric has tracked 24,228,883 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 7,506 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 97% 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 508,842 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 92% of its contemporaries.
We're also able to compare this research output to 144 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 94% of its contemporaries.