The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Use of HSC Targeted LNP to Generate a Mouse Model of Lethal α-Thalassemia and Treatment via Lentiviral Gene Therapy
|
|---|---|
| Published in |
Blood, July 2024
|
| DOI | 10.1182/blood.2023023349 |
| Pubmed ID | |
| Authors |
Maxwell Elliott Chappell, Laura Breda, Lucas Tricoli, Amaliris Guerra, Danuta Jadwiga Jarocha, Carlo Castruccio Castracani, Tyler Ellis Papp, Naoto Tanaka, Nolan Hamilton, Michael Paul Triebwasser, Valentina Ghiaccio, Megan Fedorky, Kandace Gollomp, Veronica Bochenek, Aoife M Roche, John K Everett, Emma J Cook, Frederic D Bushman, Nattiya Teawtrakul, Stavros Glentis, Antonis Kattamis, Barbara L Mui, Ying K Tam, Drew Weissman, Osheiza Abdulmalik, Hamideh Parhiz, Stefano Rivella |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 68. 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 July 2024.
All research outputs
#661,452
of 26,317,969 outputs
Outputs from Blood
#388
of 34,103 outputs
Outputs of similar age
#5,066
of 185,861 outputs
Outputs of similar age from Blood
#4
of 199 outputs
Altmetric has tracked 26,317,969 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 34,103 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done particularly well, scoring higher than 98% 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 185,861 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 98% of its contemporaries.
We're also able to compare this research output to 199 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 97% of its contemporaries.