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X Demographics
Mendeley readers
Attention Score in Context
| Title |
RNAseq analysis of treatment-dependent signaling changes during inflammation in a mouse cutaneous wound healing model
|
|---|---|
| Published in |
BMC Genomics, November 2021
|
| DOI | 10.1186/s12864-021-08083-2 |
| Pubmed ID | |
| Authors |
Georges St. Laurent, Ian Toma, Bernd Seilheimer, Konstantin Cesnulevicius, Myron Schultz, Michael Tackett, Jianhua Zhou, Maxim Ri, Dmitry Shtokalo, Denis Antonets, Tisha Jepson, Timothy A. McCaffrey |
X Demographics
The data shown below were collected from the profiles of 2 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 States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 24% |
| Other | 2 | 12% |
| Student > Bachelor | 2 | 12% |
| Student > Ph. D. Student | 1 | 6% |
| Unknown | 8 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 29% |
| Biochemistry, Genetics and Molecular Biology | 2 | 12% |
| Linguistics | 1 | 6% |
| Immunology and Microbiology | 1 | 6% |
| Chemistry | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 7 | 41% |
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 26 November 2021.
All research outputs
#16,017,204
of 24,569,575 outputs
Outputs from BMC Genomics
#6,406
of 11,011 outputs
Outputs of similar age
#274,044
of 512,520 outputs
Outputs of similar age from BMC Genomics
#90
of 168 outputs
Altmetric has tracked 24,569,575 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,011 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 41st percentile – i.e., 41% 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 512,520 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 168 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.