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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genetic analysis of novel phenotypes for farm animal resilience to weather variability
|
|---|---|
| Published in |
BMC Genomic Data, November 2019
|
| DOI | 10.1186/s12863-019-0787-z |
| Pubmed ID | |
| Authors |
Enrique Sánchez-Molano, Vanessa V. Kapsona, Joanna J. Ilska, Suzanne Desire, Joanne Conington, Sebastian Mucha, Georgios Banos |
X Demographics
The data shown below were collected from the profiles of 19 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 | 8 | 42% |
| Spain | 2 | 11% |
| Zambia | 1 | 5% |
| United States | 1 | 5% |
| Italy | 1 | 5% |
| Unknown | 6 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 63% |
| Scientists | 5 | 26% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 20% |
| Researcher | 7 | 16% |
| Student > Master | 4 | 9% |
| Student > Doctoral Student | 3 | 7% |
| Student > Bachelor | 2 | 4% |
| Other | 7 | 16% |
| Unknown | 13 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 38% |
| Veterinary Science and Veterinary Medicine | 2 | 4% |
| Economics, Econometrics and Finance | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 7 | 16% |
| Unknown | 13 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 47. 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 19 May 2020.
All research outputs
#884,028
of 25,387,668 outputs
Outputs from BMC Genomic Data
#16
of 1,204 outputs
Outputs of similar age
#19,317
of 374,939 outputs
Outputs of similar age from BMC Genomic Data
#1
of 16 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 98% 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 374,939 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 16 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 93% of its contemporaries.