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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Dark-cutting beef: A brief review and an integromics meta-analysis at the proteome level to decipher the underlying pathways
|
|---|---|
| Published in |
Meat Science, June 2021
|
| DOI | 10.1016/j.meatsci.2021.108611 |
| Pubmed ID | |
| Authors |
Mohammed Gagaoua, Robyn D Warner, Peter Purslow, Ranjith Ramanathan, Anne Maria Mullen, Maria López-Pedrouso, Daniel Franco, José M Lorenzo, Igor Tomasevic, Brigitte Picard, Declan Troy, E M Claudia Terlouw |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 22% |
| Brazil | 1 | 11% |
| United Kingdom | 1 | 11% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 67% |
| Scientists | 3 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 23% |
| Student > Bachelor | 4 | 8% |
| Student > Doctoral Student | 4 | 8% |
| Student > Ph. D. Student | 4 | 8% |
| Other | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 22 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 28% |
| Veterinary Science and Veterinary Medicine | 3 | 6% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Unspecified | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 26 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 04 March 2022.
All research outputs
#7,307,806
of 25,392,582 outputs
Outputs from Meat Science
#498
of 1,781 outputs
Outputs of similar age
#151,029
of 457,940 outputs
Outputs of similar age from Meat Science
#3
of 18 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,781 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has gotten more attention than average, scoring higher than 71% 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 457,940 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 66% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.