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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Transcriptome-wide association study of multiple myeloma identifies candidate susceptibility genes
|
|---|---|
| Published in |
Human Genomics, August 2019
|
| DOI | 10.1186/s40246-019-0231-5 |
| Pubmed ID | |
| Authors |
Molly Went, Ben Kinnersley, Amit Sud, David C. Johnson, Niels Weinhold, Asta Försti, Mark van Duin, Giulia Orlando, Jonathan S. Mitchell, Rowan Kuiper, Brian A. Walker, Walter M. Gregory, Per Hoffmann, Graham H. Jackson, Markus M. Nöthen, Miguel Inacio da Silva Filho, Hauke Thomsen, Annemiek Broyl, Faith E. Davies, Unnur Thorsteinsdottir, Markus Hansson, Martin Kaiser, Pieter Sonneveld, Hartmut Goldschmidt, Kari Stefansson, Kari Hemminki, Björn Nilsson, Gareth J. Morgan, Richard S. Houlston |
X Demographics
The data shown below were collected from the profiles of 11 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 | 3 | 27% |
| United States | 2 | 18% |
| Switzerland | 1 | 9% |
| Sweden | 1 | 9% |
| Portugal | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 55% |
| Scientists | 5 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 18% |
| Student > Ph. D. Student | 5 | 15% |
| Student > Master | 4 | 12% |
| Student > Bachelor | 3 | 9% |
| Other | 2 | 6% |
| Other | 5 | 15% |
| Unknown | 8 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 33% |
| Biochemistry, Genetics and Molecular Biology | 6 | 18% |
| Agricultural and Biological Sciences | 4 | 12% |
| Unspecified | 1 | 3% |
| Linguistics | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 10 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 11 July 2020.
All research outputs
#6,303,376
of 25,385,509 outputs
Outputs from Human Genomics
#144
of 564 outputs
Outputs of similar age
#103,107
of 351,941 outputs
Outputs of similar age from Human Genomics
#4
of 10 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 564 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has gotten more attention than average, scoring higher than 74% 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 351,941 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 70% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.