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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Digital sorting of complex tissues for cell type-specific gene expression profiles
|
|---|---|
| Published in |
BMC Bioinformatics, March 2013
|
| DOI | 10.1186/1471-2105-14-89 |
| Pubmed ID | |
| Authors |
Yi Zhong, Ying-Wooi Wan, Kaifang Pang, Lionel ML Chow, Zhandong Liu |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 50% |
| United States | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 248 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 3% |
| Germany | 2 | <1% |
| Ireland | 1 | <1% |
| Israel | 1 | <1% |
| Finland | 1 | <1% |
| Netherlands | 1 | <1% |
| Slovenia | 1 | <1% |
| New Zealand | 1 | <1% |
| Spain | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 231 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 72 | 29% |
| Student > Ph. D. Student | 57 | 23% |
| Student > Master | 23 | 9% |
| Student > Doctoral Student | 14 | 6% |
| Student > Bachelor | 13 | 5% |
| Other | 37 | 15% |
| Unknown | 32 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 75 | 30% |
| Biochemistry, Genetics and Molecular Biology | 49 | 20% |
| Computer Science | 28 | 11% |
| Medicine and Dentistry | 14 | 6% |
| Immunology and Microbiology | 12 | 5% |
| Other | 25 | 10% |
| Unknown | 45 | 18% |
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 04 April 2024.
All research outputs
#3,416,990
of 25,784,004 outputs
Outputs from BMC Bioinformatics
#1,088
of 7,746 outputs
Outputs of similar age
#27,326
of 208,614 outputs
Outputs of similar age from BMC Bioinformatics
#20
of 142 outputs
Altmetric has tracked 25,784,004 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 7,746 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 well, scoring higher than 85% 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 208,614 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 142 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.