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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analysis of genetic variants in myeloproliferative neoplasms using a 22-gene next-generation sequencing panel
|
|---|---|
| Published in |
BMC Medical Genomics, January 2022
|
| DOI | 10.1186/s12920-021-01145-0 |
| Pubmed ID | |
| Authors |
Jaymi Tan, Yock Ping Chow, Norziha Zainul Abidin, Kian Meng Chang, Veena Selvaratnam, Nor Rafeah Tumian, Yang Ming Poh, Abhi Veerakumarasivam, Michael Arthur Laffan, Chieh Lee Wong |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 9% |
| Librarian | 1 | 4% |
| Other | 1 | 4% |
| Unspecified | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 14 | 61% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 13% |
| Medicine and Dentistry | 2 | 9% |
| Unspecified | 1 | 4% |
| Veterinary Science and Veterinary Medicine | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 14 | 61% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 07 February 2022.
All research outputs
#13,607,548
of 23,072,295 outputs
Outputs from BMC Medical Genomics
#508
of 1,237 outputs
Outputs of similar age
#229,563
of 537,709 outputs
Outputs of similar age from BMC Medical Genomics
#10
of 39 outputs
Altmetric has tracked 23,072,295 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,237 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 56% 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 537,709 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 55% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.