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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A dynamic prognostic model to predict survival in post–polycythemia vera myelofibrosis
|
|---|---|
| Published in |
Blood, January 2008
|
| DOI | 10.1182/blood-2007-11-121434 |
| Pubmed ID | |
| Authors |
Francesco Passamonti, Elisa Rumi, Marianna Caramella, Chiara Elena, Luca Arcaini, Emanuela Boveri, Cecilia Del Curto, Daniela Pietra, Laura Vanelli, Paolo Bernasconi, Cristiana Pascutto, Mario Cazzola, Enrica Morra, Mario Lazzarino |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Vietnam | 1 | 1% |
| Unknown | 79 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 15% |
| Other | 11 | 14% |
| Researcher | 10 | 12% |
| Student > Master | 8 | 10% |
| Student > Bachelor | 7 | 9% |
| Other | 8 | 10% |
| Unknown | 25 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 31 | 38% |
| Biochemistry, Genetics and Molecular Biology | 6 | 7% |
| Agricultural and Biological Sciences | 6 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 5% |
| Immunology and Microbiology | 2 | 2% |
| Other | 4 | 5% |
| Unknown | 28 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 December 2021.
All research outputs
#7,355,930
of 25,373,627 outputs
Outputs from Blood
#12,742
of 33,239 outputs
Outputs of similar age
#37,537
of 169,046 outputs
Outputs of similar age from Blood
#94
of 192 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 33,239 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 60% 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 169,046 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 192 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.