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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A HIF-1 network reveals characteristics of epithelial-mesenchymal transition in acute promyelocytic leukemia
|
|---|---|
| Published in |
Genome Medicine, December 2014
|
| DOI | 10.1186/s13073-014-0084-4 |
| Pubmed ID | |
| Authors |
Stefano Percio, Nadia Coltella, Sara Grisanti, Rosa Bernardi, Linda Pattini |
| Abstract |
Acute promyelocytic leukemia (APL) is a sub-type of acute myeloid leukemia (AML) characterized by a block of myeloid differentiation at the promyelocytic stage and the predominant t(15:17) chromosomal translocation. We have previously determined that cells from APL patients show increased expression of genes regulated by hypoxia-inducible transcription factors (HIFs) compared to normal promyelocytes. HIFs regulate crucial aspects of solid tumor progression and are currently being implicated in leukemogenesis. |
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 % |
|---|---|---|
| United Kingdom | 2 | 25% |
| India | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 7% |
| Unknown | 27 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 21% |
| Other | 3 | 10% |
| Researcher | 3 | 10% |
| Student > Master | 3 | 10% |
| Student > Doctoral Student | 2 | 7% |
| Other | 5 | 17% |
| Unknown | 7 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 31% |
| Agricultural and Biological Sciences | 5 | 17% |
| Medicine and Dentistry | 4 | 14% |
| Computer Science | 2 | 7% |
| Engineering | 2 | 7% |
| Other | 0 | 0% |
| Unknown | 7 | 24% |
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 28 January 2015.
All research outputs
#6,724,928
of 22,772,779 outputs
Outputs from Genome Medicine
#1,065
of 1,437 outputs
Outputs of similar age
#93,881
of 361,405 outputs
Outputs of similar age from Genome Medicine
#55
of 71 outputs
Altmetric has tracked 22,772,779 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,437 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.7. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
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 361,405 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 73% of its contemporaries.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.