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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Transcriptional response to cardiac injury in the zebrafish: systematic identification of genes with highly concordant activity across in vivo models
|
|---|---|
| Published in |
BMC Genomics, October 2014
|
| DOI | 10.1186/1471-2164-15-852 |
| Pubmed ID | |
| Authors |
Sophie Rodius, Petr V Nazarov, Isabel A Nepomuceno-Chamorro, Céline Jeanty, Juan Manuel González-Rosa, Mark Ibberson, Ricardo M Benites da Costa, Ioannis Xenarios, Nadia Mercader, Francisco Azuaje |
| Abstract |
Zebrafish is a clinically-relevant model of heart regeneration. Unlike mammals, it has a remarkable heart repair capacity after injury, and promises novel translational applications. Amputation and cryoinjury models are key research tools for understanding injury response and regeneration in vivo. An understanding of the transcriptional responses following injury is needed to identify key players of heart tissue repair, as well as potential targets for boosting this property in humans. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | 60% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| Turkey | 1 | 2% |
| United States | 1 | 2% |
| Italy | 1 | 2% |
| Unknown | 50 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 24% |
| Researcher | 9 | 17% |
| Student > Master | 9 | 17% |
| Student > Bachelor | 5 | 9% |
| Other | 3 | 6% |
| Other | 11 | 20% |
| Unknown | 4 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 18 | 33% |
| Agricultural and Biological Sciences | 18 | 33% |
| Engineering | 4 | 7% |
| Medicine and Dentistry | 3 | 6% |
| Computer Science | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 4 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 06 November 2014.
All research outputs
#2,940,238
of 24,598,501 outputs
Outputs from BMC Genomics
#934
of 11,013 outputs
Outputs of similar age
#32,276
of 259,282 outputs
Outputs of similar age from BMC Genomics
#17
of 203 outputs
Altmetric has tracked 24,598,501 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,013 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 91% 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 259,282 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 87% of its contemporaries.
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 has done particularly well, scoring higher than 92% of its contemporaries.