You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Title |
Incorporating medical code descriptions for diagnosis prediction in healthcare
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, December 2019
|
| DOI | 10.1186/s12911-019-0961-2 |
| Pubmed ID | |
| Authors |
Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou, Jing Gao |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 15% |
| Student > Master | 5 | 10% |
| Researcher | 5 | 10% |
| Student > Doctoral Student | 3 | 6% |
| Student > Bachelor | 3 | 6% |
| Other | 4 | 8% |
| Unknown | 21 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 21% |
| Medicine and Dentistry | 4 | 8% |
| Nursing and Health Professions | 2 | 4% |
| Engineering | 2 | 4% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 23 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 22 July 2021.
All research outputs
#7,656,930
of 23,310,485 outputs
Outputs from BMC Medical Informatics and Decision Making
#787
of 2,024 outputs
Outputs of similar age
#164,774
of 458,991 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#27
of 66 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,024 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 58% 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 458,991 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 56% of its contemporaries.
We're also able to compare this research output to 66 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 56% of its contemporaries.