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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Allogeneic haematopoietic cell transplantation for extranodal natural killer/T‐cell lymphoma, nasal type: a CIBMTR analysis
|
|---|---|
| Published in |
British Journal of Haematology, August 2017
|
| DOI | 10.1111/bjh.14879 |
| Pubmed ID | |
| Authors |
Abraham S. Kanate, Alyssa DiGilio, Kwang W. Ahn, Monzr Al Malki, Eric Jacobsen, Amir Steinberg, Nelson Hamerschlak, Mohamed Kharfan‐Dabaja, Rachel Salit, Edward Ball, Qaiser Bashir, Amanda Cashen, Daniel Couriel, Jose Diez‐Martin, Emmanuel Katsanis, Yulia Linhares, Shahram Mori, Richard Nash, Attaphol Pawarode, Miguel‐Angel Perales, Colin D. Phipps, Carol Richman, Bipin N. Savani, Michael Y. Shapira, Patrick Stiff, Roger Strair, Timothy S. Fenske, Sonali M. Smith, Anna Sureda, Horatiu Olteanu, Mehdi Hamadani |
X Demographics
The data shown below were collected from the profiles of 15 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 States | 6 | 40% |
| Spain | 3 | 20% |
| Mexico | 2 | 13% |
| Saudi Arabia | 1 | 7% |
| Unknown | 3 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 73% |
| Practitioners (doctors, other healthcare professionals) | 3 | 20% |
| Scientists | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 7 | 16% |
| Other | 6 | 14% |
| Student > Doctoral Student | 3 | 7% |
| Student > Bachelor | 2 | 5% |
| Student > Master | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 18 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 35% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Business, Management and Accounting | 1 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 21 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 04 December 2018.
All research outputs
#4,178,865
of 23,327,904 outputs
Outputs from British Journal of Haematology
#1,234
of 7,490 outputs
Outputs of similar age
#73,198
of 318,402 outputs
Outputs of similar age from British Journal of Haematology
#16
of 96 outputs
Altmetric has tracked 23,327,904 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,490 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done well, scoring higher than 83% 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 318,402 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 76% of its contemporaries.
We're also able to compare this research output to 96 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.