The data shown below were collected from the profiles of 128 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
From GWAS to Function: Using Functional Genomics to Identify the Mechanisms Underlying Complex Diseases
|
|---|---|
| Published in |
Frontiers in Genetics, May 2020
|
| DOI | 10.3389/fgene.2020.00424 |
| Pubmed ID | |
| Authors |
Eddie Cano-Gamez, Gosia Trynka |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 17 | 13% |
| United States | 12 | 9% |
| Spain | 4 | 3% |
| Switzerland | 3 | 2% |
| Canada | 2 | 2% |
| Australia | 2 | 2% |
| Italy | 1 | <1% |
| Netherlands | 1 | <1% |
| Vietnam | 1 | <1% |
| Other | 5 | 4% |
| Unknown | 80 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 71 | 55% |
| Members of the public | 55 | 43% |
| Practitioners (doctors, other healthcare professionals) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,016 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1016 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 171 | 17% |
| Researcher | 133 | 13% |
| Student > Bachelor | 111 | 11% |
| Student > Master | 100 | 10% |
| Student > Doctoral Student | 40 | 4% |
| Other | 88 | 9% |
| Unknown | 373 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 302 | 30% |
| Agricultural and Biological Sciences | 120 | 12% |
| Medicine and Dentistry | 55 | 5% |
| Computer Science | 24 | 2% |
| Neuroscience | 24 | 2% |
| Other | 100 | 10% |
| Unknown | 391 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 72. 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 November 2021.
All research outputs
#628,225
of 26,435,181 outputs
Outputs from Frontiers in Genetics
#87
of 13,974 outputs
Outputs of similar age
#18,871
of 424,865 outputs
Outputs of similar age from Frontiers in Genetics
#2
of 365 outputs
Altmetric has tracked 26,435,181 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,974 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 99% 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 424,865 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 95% of its contemporaries.
We're also able to compare this research output to 365 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 99% of its contemporaries.