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X Demographics
Mendeley readers
Attention Score in Context
| Title |
FibroGENE: A gene-based model for staging liver fibrosis
|
|---|---|
| Published in |
Journal of Hepatology, December 2015
|
| DOI | 10.1016/j.jhep.2015.11.008 |
| Pubmed ID | |
| Authors |
Mohammed Eslam, Ahmed M. Hashem, Manuel Romero-Gomez, Thomas Berg, Gregory J. Dore, Alessandra Mangia, Henry Lik Yuen Chan, William L. Irving, David Sheridan, Maria Lorena Abate, Leon A. Adams, Martin Weltman, Elisabetta Bugianesi, Ulrich Spengler, Olfat Shaker, Janett Fischer, Lindsay Mollison, Wendy Cheng, Jacob Nattermann, Stephen Riordan, Luca Miele, Kebitsaone Simon Kelaeng, Javier Ampuero, Golo Ahlenstiel, Duncan McLeod, Elizabeth Powell, Christopher Liddle, Mark W. Douglas, David R. Booth, Jacob George, International Liver Disease Genetics Consortium |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 3 | 20% |
| Australia | 1 | 7% |
| Canada | 1 | 7% |
| Sri Lanka | 1 | 7% |
| Singapore | 1 | 7% |
| United States | 1 | 7% |
| Egypt | 1 | 7% |
| Unknown | 6 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
| Scientists | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 119 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 21% |
| Student > Ph. D. Student | 15 | 12% |
| Student > Master | 13 | 11% |
| Student > Bachelor | 10 | 8% |
| Professor | 6 | 5% |
| Other | 27 | 22% |
| Unknown | 25 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 48 | 40% |
| Engineering | 8 | 7% |
| Biochemistry, Genetics and Molecular Biology | 7 | 6% |
| Agricultural and Biological Sciences | 6 | 5% |
| Nursing and Health Professions | 3 | 2% |
| Other | 14 | 12% |
| Unknown | 35 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 15 April 2018.
All research outputs
#1,974,525
of 26,017,215 outputs
Outputs from Journal of Hepatology
#1,093
of 6,389 outputs
Outputs of similar age
#31,972
of 401,213 outputs
Outputs of similar age from Journal of Hepatology
#20
of 88 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,389 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.0. This one has done well, scoring higher than 82% 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 401,213 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 91% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.