| Title |
Gaucher disease: single gene molecular characterization of one-hundred Indian patients reveals novel variants and the most prevalent mutation
|
|---|---|
| Published in |
BMC Medical Genomics, February 2019
|
| DOI | 10.1186/s12881-019-0759-1 |
| Pubmed ID | |
| Authors |
Jayesh Sheth, Riddhi Bhavsar, Mehul Mistri, Dhairya Pancholi, Ashish Bavdekar, Ashwin Dalal, Prajnya Ranganath, Katta M Girisha, Anju Shukla, Shubha Phadke, Ratna Puri, Inusha Panigrahi, Anupriya Kaur, Mamta Muranjan, Manisha Goyal, Radha Ramadevi, Raju Shah, Sheela Nampoothiri, Sumita Danda, Chaitanya Datar, Seema Kapoor, Seema Bhatwadekar, Frenny Sheth |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 4 | 67% |
| United Kingdom | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 18% |
| Student > Bachelor | 8 | 14% |
| Student > Ph. D. Student | 5 | 9% |
| Professor | 4 | 7% |
| Other | 4 | 7% |
| Other | 8 | 14% |
| Unknown | 17 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 21% |
| Medicine and Dentistry | 8 | 14% |
| Agricultural and Biological Sciences | 3 | 5% |
| Neuroscience | 2 | 4% |
| Chemistry | 2 | 4% |
| Other | 8 | 14% |
| Unknown | 21 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 05 March 2019.
All research outputs
#7,203,716
of 25,385,509 outputs
Outputs from BMC Medical Genomics
#480
of 2,444 outputs
Outputs of similar age
#147,575
of 458,043 outputs
Outputs of similar age from BMC Medical Genomics
#18
of 67 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 80% 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 458,043 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 67% of its contemporaries.
We're also able to compare this research output to 67 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 73% of its contemporaries.