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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of candidate long non-coding RNAs in response to myocardial infarction
|
|---|---|
| Published in |
BMC Genomics, June 2014
|
| DOI | 10.1186/1471-2164-15-460 |
| Pubmed ID | |
| Authors |
Jennifer Zangrando, Lu Zhang, Melanie Vausort, Fatiha Maskali, Pierre-Yves Marie, Daniel R Wagner, Yvan Devaux |
| Abstract |
Long non-coding RNAs (lncRNAs) constitute a novel class of non-coding RNAs. LncRNAs regulate gene expression, thus having the possibility to modulate disease progression. In this study, we investigated the changes of lncRNAs expression in the heart after myocardial infarction (MI). |
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 % |
|---|---|---|
| United Kingdom | 1 | 33% |
| France | 1 | 33% |
| Unknown | 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 24% |
| Researcher | 12 | 18% |
| Student > Master | 8 | 12% |
| Other | 5 | 7% |
| Student > Postgraduate | 5 | 7% |
| Other | 9 | 13% |
| Unknown | 13 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 27 | 40% |
| Agricultural and Biological Sciences | 14 | 21% |
| Medicine and Dentistry | 4 | 6% |
| Unspecified | 2 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
| Other | 6 | 9% |
| Unknown | 14 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 18 March 2023.
All research outputs
#16,047,881
of 24,417,958 outputs
Outputs from BMC Genomics
#6,432
of 10,976 outputs
Outputs of similar age
#132,291
of 233,756 outputs
Outputs of similar age from BMC Genomics
#109
of 209 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,976 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 36th percentile – i.e., 36% 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 233,756 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 209 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.