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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A combination of improved differential and global RNA-seq reveals pervasive transcription initiation and events in all stages of the life-cycle of functional RNAs in Propionibacterium acnes, a major contributor to wide-spread human disease
|
|---|---|
| Published in |
BMC Genomics, September 2013
|
| DOI | 10.1186/1471-2164-14-620 |
| Pubmed ID | |
| Authors |
Yu-fei Lin, David Romero A, Shuang Guan, Lira Mamanova, Kenneth J McDowall |
| Abstract |
Sequencing of the genome of Propionibacterium acnes produced a catalogue of genes many of which enable this organism to colonise skin and survive exposure to the elements. Despite this platform, there was little understanding of the gene regulation that gives rise to an organism that has a major impact on human health and wellbeing and causes infections beyond the skin. To address this situation, we have undertaken a genome-wide study of gene regulation using a combination of improved differential and global RNA-sequencing and an analytical approach that takes into account the inherent noise within the data. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Russia | 1 | 1% |
| Unknown | 70 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 37% |
| Researcher | 15 | 21% |
| Student > Bachelor | 6 | 8% |
| Student > Doctoral Student | 6 | 8% |
| Student > Master | 6 | 8% |
| Other | 7 | 10% |
| Unknown | 5 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 42 | 59% |
| Biochemistry, Genetics and Molecular Biology | 16 | 23% |
| Neuroscience | 2 | 3% |
| Computer Science | 2 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 6 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 03 January 2023.
All research outputs
#7,831,597
of 25,089,705 outputs
Outputs from BMC Genomics
#3,440
of 11,153 outputs
Outputs of similar age
#63,038
of 204,249 outputs
Outputs of similar age from BMC Genomics
#37
of 138 outputs
Altmetric has tracked 25,089,705 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 11,153 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 67% 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 204,249 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.