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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identifying Crohn’s disease signal from variome analysis
|
|---|---|
| Published in |
Genome Medicine, September 2019
|
| DOI | 10.1186/s13073-019-0670-6 |
| Pubmed ID | |
| Authors |
Yanran Wang, Maximilian Miller, Yuri Astrakhan, Britt-Sabina Petersen, Stefan Schreiber, Andre Franke, Yana Bromberg |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | 17% |
| United Kingdom | 2 | 11% |
| United States | 2 | 11% |
| Switzerland | 1 | 6% |
| Canada | 1 | 6% |
| Brazil | 1 | 6% |
| Unknown | 8 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 61% |
| Scientists | 5 | 28% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 18% |
| Researcher | 5 | 13% |
| Student > Ph. D. Student | 5 | 13% |
| Student > Bachelor | 3 | 8% |
| Student > Doctoral Student | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 12 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 28% |
| Medicine and Dentistry | 4 | 10% |
| Agricultural and Biological Sciences | 4 | 10% |
| Computer Science | 3 | 8% |
| Unspecified | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 13 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 158. 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 21 October 2019.
All research outputs
#251,157
of 24,932,492 outputs
Outputs from Genome Medicine
#38
of 1,536 outputs
Outputs of similar age
#5,328
of 355,078 outputs
Outputs of similar age from Genome Medicine
#2
of 18 outputs
Altmetric has tracked 24,932,492 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,536 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.1. This one has done particularly well, scoring higher than 97% 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 355,078 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 98% 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 particularly well, scoring higher than 94% of its contemporaries.