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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The MR-Base platform supports systematic causal inference across the human phenome
|
|---|---|
| Published in |
eLife, May 2018
|
| DOI | 10.7554/elife.34408 |
| Pubmed ID | |
| Authors |
Gibran Hemani, Jie Zheng, Benjamin Elsworth, Kaitlin H Wade, Valeriia Haberland, Denis Baird, Charles Laurin, Stephen Burgess, Jack Bowden, Ryan Langdon, Vanessa Y Tan, James Yarmolinsky, Hashem A Shihab, Nicholas J Timpson, David M Evans, Caroline Relton, Richard M Martin, George Davey Smith, Tom R Gaunt, Philip C Haycock |
X Demographics
The data shown below were collected from the profiles of 56 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 | 19 | 34% |
| United States | 13 | 23% |
| Netherlands | 3 | 5% |
| France | 2 | 4% |
| Italy | 1 | 2% |
| Spain | 1 | 2% |
| Denmark | 1 | 2% |
| Japan | 1 | 2% |
| Chile | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 13 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 29 | 52% |
| Scientists | 23 | 41% |
| Practitioners (doctors, other healthcare professionals) | 3 | 5% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 892 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 892 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 173 | 19% |
| Researcher | 155 | 17% |
| Student > Master | 79 | 9% |
| Student > Bachelor | 68 | 8% |
| Student > Doctoral Student | 55 | 6% |
| Other | 127 | 14% |
| Unknown | 235 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 211 | 24% |
| Medicine and Dentistry | 141 | 16% |
| Agricultural and Biological Sciences | 72 | 8% |
| Neuroscience | 35 | 4% |
| Computer Science | 24 | 3% |
| Other | 121 | 14% |
| Unknown | 288 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 34. 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 September 2022.
All research outputs
#1,209,762
of 25,779,988 outputs
Outputs from eLife
#3,728
of 15,853 outputs
Outputs of similar age
#25,685
of 345,459 outputs
Outputs of similar age from eLife
#95
of 337 outputs
Altmetric has tracked 25,779,988 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,853 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.9. This one has done well, scoring higher than 76% 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 345,459 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 92% of its contemporaries.
We're also able to compare this research output to 337 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.