You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Biological basis of extensive pleiotropy between blood traits and cancer risk
|
|---|---|
| Published in |
Genome Medicine, February 2024
|
| DOI | 10.1186/s13073-024-01294-8 |
| Pubmed ID | |
| Authors |
Miguel Angel Pardo-Cea, Xavier Farré, Anna Esteve, Joanna Palade, Roderic Espín, Francesca Mateo, Eric Alsop, Marc Alorda, Natalia Blay, Alexandra Baiges, Arzoo Shabbir, Francesc Comellas, Antonio Gómez, Montserrat Arnan, Alex Teulé, Monica Salinas, Laura Berrocal, Joan Brunet, Paula Rofes, Conxi Lázaro, Miquel Conesa, Juan Jose Rojas, Lars Velten, Wojciech Fendler, Urszula Smyczynska, Dipanjan Chowdhury, Yong Zeng, Housheng Hansen He, Rong Li, Kendall Van Keuren-Jensen, Rafael de Cid, Miquel Angel Pujana |
X Demographics
The data shown below were collected from the profiles of 8 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 | 38% |
| United Kingdom | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 50% |
| Unspecified | 1 | 17% |
| Unknown | 2 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 33% |
| Biochemistry, Genetics and Molecular Biology | 1 | 17% |
| Unspecified | 1 | 17% |
| Unknown | 2 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 51. 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 29 February 2024.
All research outputs
#829,609
of 25,393,071 outputs
Outputs from Genome Medicine
#161
of 1,587 outputs
Outputs of similar age
#8,529
of 248,060 outputs
Outputs of similar age from Genome Medicine
#2
of 35 outputs
Altmetric has tracked 25,393,071 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,587 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has done well, scoring higher than 89% 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 248,060 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 96% of its contemporaries.
We're also able to compare this research output to 35 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.