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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification and functional analysis of long non-coding RNAs in mouse cleavage stage embryonic development based on single cell transcriptome data
|
|---|---|
| Published in |
BMC Genomics, October 2014
|
| DOI | 10.1186/1471-2164-15-845 |
| Pubmed ID | |
| Authors |
Kunshan Zhang, Kefei Huang, Yuping Luo, Siguang Li |
| Abstract |
Long non-coding RNAs (lncRNAs) regulate embryonic development and cell fate decision in various ways, such as modulation of chromatin modification and post-transcription regulation of gene expression. However, the profiles and roles of lncRNAs in early mammalian development have not yet been demonstrated. Here, we reported a comprehensive analysis of mouse cleavage stage embryonic lncRNA profiles based on public single-cell RNA-seq data. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 67% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| United Kingdom | 1 | 1% |
| Sweden | 1 | 1% |
| China | 1 | 1% |
| Unknown | 87 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 23% |
| Student > Ph. D. Student | 20 | 22% |
| Student > Master | 14 | 15% |
| Student > Bachelor | 7 | 8% |
| Other | 5 | 5% |
| Other | 14 | 15% |
| Unknown | 11 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 37 | 40% |
| Biochemistry, Genetics and Molecular Biology | 29 | 32% |
| Medicine and Dentistry | 4 | 4% |
| Chemistry | 3 | 3% |
| Neuroscience | 2 | 2% |
| Other | 1 | 1% |
| Unknown | 16 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 October 2014.
All research outputs
#17,728,060
of 22,765,347 outputs
Outputs from BMC Genomics
#7,550
of 10,638 outputs
Outputs of similar age
#171,029
of 253,927 outputs
Outputs of similar age from BMC Genomics
#131
of 203 outputs
Altmetric has tracked 22,765,347 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,638 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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 253,927 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 203 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.