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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A validated single-cell-based strategy to identify diagnostic and therapeutic targets in complex diseases
|
|---|---|
| Published in |
Genome Medicine, July 2019
|
| DOI | 10.1186/s13073-019-0657-3 |
| Pubmed ID | |
| Authors |
Danuta R. Gawel, Jordi Serra-Musach, Sandra Lilja, Jesper Aagesen, Alex Arenas, Bengt Asking, Malin Bengnér, Janne Björkander, Sophie Biggs, Jan Ernerudh, Henrik Hjortswang, Jan-Erik Karlsson, Mattias Köpsen, Eun Jung Lee, Antonio Lentini, Xinxiu Li, Mattias Magnusson, David Martínez-Enguita, Andreas Matussek, Colm E. Nestor, Samuel Schäfer, Oliver Seifert, Ceylan Sonmez, Henrik Stjernman, Andreas Tjärnberg, Simon Wu, Karin Åkesson, Alex K. Shalek, Margaretha Stenmarker, Huan Zhang, Mika Gustafsson, Mikael Benson |
X Demographics
The data shown below were collected from the profiles of 26 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 | 5 | 19% |
| United States | 3 | 12% |
| France | 2 | 8% |
| United Kingdom | 2 | 8% |
| Colombia | 1 | 4% |
| Israel | 1 | 4% |
| Brazil | 1 | 4% |
| Italy | 1 | 4% |
| Mexico | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 16 | 62% |
| Members of the public | 10 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 212 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 212 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 16% |
| Researcher | 33 | 16% |
| Student > Master | 18 | 8% |
| Student > Bachelor | 17 | 8% |
| Other | 8 | 4% |
| Other | 28 | 13% |
| Unknown | 75 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 55 | 26% |
| Agricultural and Biological Sciences | 18 | 8% |
| Medicine and Dentistry | 15 | 7% |
| Computer Science | 9 | 4% |
| Immunology and Microbiology | 8 | 4% |
| Other | 23 | 11% |
| Unknown | 84 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 697. 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 17 September 2020.
All research outputs
#30,123
of 25,630,321 outputs
Outputs from Genome Medicine
#6
of 1,605 outputs
Outputs of similar age
#571
of 359,996 outputs
Outputs of similar age from Genome Medicine
#1
of 21 outputs
Altmetric has tracked 25,630,321 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,605 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.0. 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 359,996 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 99% of its contemporaries.
We're also able to compare this research output to 21 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 95% of its contemporaries.